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© Art Traynor 2011
Chemistry
Principles
Scientific Method
Section 1.2, (Pg. 5)
Zumdahl
?
? ?
?
Pro-Forma
(Secret Shopper)
Audit/Survey
Pro-Forma
(Secret Shopper)
Audit/Survey
Overture
Letter/Proposal
Overture
Letter/Proposal
Permissive Store
Visit or Mockup
Permissive Store
Visit or Mockup
Scientific
Method
?
Ordered State of Matter
Exhibits a
Change of State
The Fidelity of Empirical
Observation is Evaluated against
the Prediction of the Hypothesis
Emendations to Theory are
Adopted by Replication of Results
s
initial state
terminal
state
A falsifiable Hypothesis is
Averred to Account for the
Observed Change of State
An Experiment is devised
to test the Validity of the
Hypothesis
Scientific Method
A systematic method of inquiry by which the state of a phenomenological system or
a change in its state can be empirically characterized by the predictions of a causal
relation that can be falsified by experiment with repeatable results.
Experimental Results are
Reconciled with applicable
Scientific Laws and Theories
Section 1.2 (Pg. 3)
McQuarrie, et al.
© Art Traynor 2011
Chemistry
Principles
Scientific Method
Scientific Method
A methodology for characterizing the behavior of a phenomenological system.
The system must admit
measurement
Section 1.2, (Pg. 4)
Phenomena Hypothesis
Empirical ( Measurable ) Theory ( Conjecture )
Falsifiable ( Refutable )
Replicable ( Reproducible )
Systematic
Experiment
Observation
Organized
Predictable
Qualitative
Quantitative
Procedure ( Operation)
Measurement
Number
Unit
Testing
Interpretive
Results
Model
Explanative
Refining
Consistent
System
Process ( Reaction )
Behavior
Logical Consequence
Population
Null – Alternative
Formulation
Analysis
Question
Simplicity
Principle of Parsimony
Occam’s Razor
Correlation Causation
Conflation
Selection Bias
Confirmation Bias
Hindsight Bias (Postdiction)
Control
Accuracy
Precision
Uncertainty ( Error )
Confirmation
Heuristic
Data
© Art Traynor 2011
Chemistry
Principles
Phenomenological System
Phenomenological System
An ordered state of matter possessed of attributes capable of being
characterized by a descriptive quantification
Section 1.2, (Pg. 5)
Zumdahl
© Art Traynor 2011
Chemistry
Principles
Scientific Law
Law of Science
It’s not so much a Law…
as a Good Idea
A durable declaration – premised on uncontroverted, aggregated observation,
such as to suggest universal validity –
inferring the operation of a causal relation
accounting for a particular change of state
within a phenomenological system.
A Scientific Law should not
be thought of a Theory that
has graduated status with
the accumulation of
additional evidence
Section 1.2, (Pg. 5)
Zumdahl
Section 1.2 (Pg. 3)
McQuarrie, et al.
 Does not proffer Explanation !
 Summarizes a Relationship
© Art Traynor 2011
Chemistry
Principles
Scientific Theory
A Theory is typically much
broader in scope than a
Scientific Law, which is much
more limited in the scope of
its explanatory compass
Section 1.2, (Pg. 5)Theory
A well-substantiated explanation –
premised on systematic observation and experiment
( typical of The Scientific Method ) –
inferring the existence of a causal relation
accounting for a particular change of state
within a phenomenological system.
A valid theory is characterized by the following:
 Falsifiable Prediction with Consistent Accuracy
 Empirically Premised on Observation and/or Experiment
 Parsimonious as to Alternatives
 Adaptive to Supplemental Data
 Replicable Results
Explanation
explanandum
less
obvious
more
obvious
elucidation
A Theory can incorporate
several Scientific Laws
 Represents a Unification of Ideas
( derivative of one or more laws )
 Cannot be Proven Correct
© Art Traynor 2011
Chemistry
Principles
Scientific Theory
Section 1.2, (Pg. 5)Theory
A well-substantiated explanation –
premised on systematic observation and experiment
( typical of The Scientific Method ) –
inferring the existence of a causal relation
accounting for a particular change of state
within a phenomenological system.
 Logical Positivistic
Explanation
explanandum
less
obvious
more
obvious
elucidationNumerous epistemological interpretations of the Scientific
Method have emerged to enrichen its vitality:
Theories are to be considered as analogous to mathematical
axioms – a propositional form

© Art Traynor 2011
Chemistry
Principles
Scientific Theory
Section 1.2, (Pg. 5)Theory
A well-substantiated explanation –
premised on systematic observation and experiment
( typical of The Scientific Method ) –
inferring the existence of a causal relation
accounting for a particular change of state
within a phenomenological system.
Explanation
explanandum
less
obvious
more
obvious
elucidationNumerous epistemological interpretations of the Scientific
Method have emerged to enrichen its vitality:
 Models
Theories are to be considered as analogous to mathematical
axioms

© Art Traynor 2011
Chemistry
Principles
Hypothesis
Hypothesis
A conjecture arising from the formulation of an empirical (scientific) question
which supplies a plausible explanation
to account for a particular change of state observed to occur within a
phenomenological system.
 Null Hypothesis
 Alternative Hypothesis
The conjecture that experiment will falsify a relation posited to account for a
particular change of state observed to occur within a phenomenological system.
The preferred conjecture that experiment will verify a relation posited to account for
a particular change of state observed to occur within a phenomenological system.
Essentially synonymous with
Conjecture, however
Conjecture is more formally
defined in Mathematics as a
Proposition for which a Proof
has yet to be stated
© Art Traynor 2011
Chemistry
Principles
Hypothesis
Hypothesis
A conjecture arising from the formulation of an empirical (scientific) question
which supplies a plausible explanation
to account for a particular change of state observed to occur within a
phenomenological system.
A distillation of Question
Formulation Criteria as
proposed by Dietrich Dörner
with subsequent expansion
/refinement by Joachim
Funke
 Transparency ( Intransparency )
 Polytely ( Objective Multiplicity/Profusion , “ mission creep ” )
 Complexity
 Dynamics
© Art Traynor 2011
Chemistry
Principles
Experiment
Experiment
An ordered procedure by which to establish the validity of a Hypothesis purporting
to characterize a phenomenological system or to otherwise account for any observed
change of state within the system.
Observation
Qualitative – phenomena are characterized according to Class Equivalencies
Color
Odor
Reactivity



Quantitative – susceptible to measurement Section 1.2 (Pg. 5)
McQuarrie, et al.
© Art Traynor 2011
Chemistry
Principles
Chemistry
Chemistry
A discipline within the Physical Sciences dedicated to the explication of the
Composition
Structure
Properties
Changes of State
Of ( or within ) a phenomenological system.
Chemistry seeks to describe the properties of
Individual Atoms ( Elements )
Bonding
Intermolecular Forces
Reactions









Chemistry is regarded as a “ Central Science ” as its precepts are of equal
explanatory force within the related disciplines of Physics, Geology, and Biology

Wiki “Chemistry”
© Art Traynor 2011
Chemistry
Principles
Chemistry
Chemistry
The etymology of “ Chemistry ” can be traced through several alternatively
plausible origins

Alchemy
al-kīmīā ( Arabic )
χημεία or chemeia ( Greek – “ cast together ” )
Khem – ( ancient Greek name for Egypt, for their prowess in metalworking )




Wiki “Chemistry”
Kim Mi – ( Chinese for “ the secret of Gold ” )
© Art Traynor 2011
Chemistry
Principles
Measurement
Measurement
A quantity ascertained by observation characterized by:
 Magnitude
 Unit
The Modulus or Absolute Value, | m | assigned to
represent the observation.
The ordering Metric by which a Relation with the magnitude
of the observation might be expressed as a scaled ratio.
Section 1.3, (Pg. 7)
 Uncertainty
A parameter associated with an observation relating the
probabilistic dispersion of the Magnitude.
Measurand – that quantifiable
aspect of a phenomenological
system by which class
equivalences can be metrically
determined
Measurand – the object of the
measurement
Measurement – the estimation
of the ratio (typically attribute
differences) between the
magnitude of a continuous
quantity and a unit magnitude
of the same class.
© Art Traynor 2011
Chemistry
Principles
Measurement – Qualities of Unit Quantities
Unit quantities can be classed as one of two types:
 Extensive Quantities
Classes of phenomena admitting a Concatenation operation .
Section 1.3, (Pg. 7)
Also known as Base Quantities
Examples: Length, Mass, Time, Electrical Resistance,
Plane Angle, etc.

 Intensive Quantities
Classes of phenomena not admitting a Concatenation operation .
Examples: Temperature, etc.
Measurement
© Art Traynor 2011
Chemistry
Measurement
SI Units
Systèm Internationale ( SI )
Fundamental SI Units
Mass
Length
Time
Temperature
Electric Current
Substance Cardinality
Luminous Intensity
kilogram
meter
second
Kelvin
ampere
mole
candela
kg
m
s
K
A
mol
cd
There are only seven
Fundamental SI Units
“Dimension” is rigorously
defined as the indexed
product of a fundamental
physical Metric ( of which
there are precisely five )
Dimension Name Abbreviation
Section 1.4, ( Pg. 11 )
Variable
m
l
t
T
I
n
The notion of “Dimension”
is hierarchically distinct
from the notion of a
“ Scale Unit ”
“Dimension” is conceived
to describe a distinct
phenomenological
equivalence class on
which a relation to a
measurand can be defined
by a scaled ratio
A “Fundamental” unit is
one from which every
other measure in its
phenomenological class
can be derived (akin to
vector Basis, or Linearly
Independent Set)
© Art Traynor 2011
Chemistry
Measurement
SI Units
Systèm Internationale ( SI )
Additional SI (?) Units
Physical Quantity Name Abbreviation Variable
Volume Liter L v
Inductance Henry H L
Units which can be “ factored ”
into other units, or are com-
positions of one or more
Base Units are not fundamental,
( e.g. a volume in Liters can be
equally stated in terms of length
as in 1mL = 1cm3 , or velocity
expressed in mi/hr )
Capacitance Farad F C
Resistance Ohm Ω R
Electro-Motive Force Volt V E
Electric Charge Coulomb C Q
© Art Traynor 2011
Chemistry
Measurement
SI Units
Systèm Internationale ( SI )
Additional Units – Compound Units
Physical Quantity Name Abbreviation Variable
Density
Kilogram
L
 Compound Units
A composition of measures drawn from two or more of the fundamental units.
Liter
kg
⍴= kg · L – 1
v
m
=
© Art Traynor 2011
Chemistry
Measurement
SI Units
Systèm Internationale ( SI )
Fundamental SI Units
 Mass
A measure characterizing the Inertia of a body, or its resistance to a change in its state
of motion ( i.e. the Force necessary to impart a certain acceleration ).
 Weight
The response of a Mass to the Force of Gravity .
 Temperature
A measure of the relative tendency of heat to escape a radiant body .
Section 1.2 (Pg. 5)
McQuarrie, et al.
© Art Traynor 2011
Chemistry
Measurement
SI Units
10 – 24
10 – 21
10 – 18
10 – 15
10 – 12
10 – 9
10 – 6
10 – 3
10 – 2
10 – 1
Yocto y 10 24YottoY
Zepto z 10 21ZettaZ
Atto a 10 18ExaE
Fempto f 10 15PetaP
Pico P 10 12TeraT
Nano n 10 9GigaG
Micro μ 10 6MegaM
Milli m 10 3Kilok
Centi c 10 2
Deci d 10 1Dekada
Hectoh
Systèm Internationale ( SI )
Unit Prefixes
© Art Traynor 2011
Chemistry
Measurement
SI Units
Systèm Internationale ( SI )
Additional SI Units
1m = 10dm
10dm = 1m
1m = 10dm
1 meter = 10 decimeters
Length Volume
1 m3 = 1,000 dm3
or 1,000 L
1dm3 = 1L
1cm3 = 1mL
1 decimeter = 10 centimeters 1 dm3 = 1,000 cm3
or 1 mL
1dm = 10 cm
1dm = 10 cm
1dm = 10 cm
© Art Traynor 2011
Chemistry
Measurement
Uncertainty
Measurement
A quantity ascertained by observation characterized by:
 Uncertainty
A parameter associated with an observation relating the
probabilistic dispersion of the Magnitude.
As previously noted (essential
elements of a Measurement )
 Etiology of Error
 Precision & Accuracy
 Significant Figures ( Sig Figs )
© Art Traynor 2011
Chemistry
Measurement
Error
Measurement
A quantity ascertained by observation characterized by:
 Uncertainty
A parameter associated with an observation relating
the probabilistic dispersion of the Magnitude.
As previously noted (essential
elements of a Measurement )
 Etiology of Error
n Systematic Error
Error which is introduced into a measurement
by a defect in the measurement device
n Sensitivity Error
Error which is introduced into a measurement
by an overspecification of device precision
Characterized by a posteriori
“ predictable ” error
© Art Traynor 2011
Chemistry
Measurement
Measurement
A quantity ascertained by observation characterized by:
 Uncertainty
A parameter associated with an observation relating the
probabilistic dispersion of the Magnitude.
As previously noted (essential
elements of a Measurement )
 Etiology of Error
n Random Error
Non-systematic error ( typically ) introduced into
the measurement by factors other than those
inhering to the measurement device ( e.g. human
factors )
Characterized by a posteriori
“ unpredictable ” error
This species of error can be systematically
characterized by a Probability Density
Function ( PDF )
o
Error
© Art Traynor 2011
Chemistry
The discrepancy between an exact value and some approximation
( measurement ) of it
Measurement
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
Error
 Etiology of Error
n Approximation Error
Swok, Section 11.5, Pg. 560o If “ E” represents error in an approximation, the approximation
can be considered accurate to “ k” decimal places if the modulus
of “ E” is less than the product of five-tenths and ten indexed
to the minus “ k”
1-decimal place Accuracy | E | < 0.5 x 10 – 1 = 0.0.5
①
Moving 1 position
in the “+” direction
k-decimal place Accuracy | E | < 0.5 x 10 – k
2-decimal place Accuracy | E | < 0.5 x 10 – 2 = 0.0.0.5 Moving 2 positions
in the “+” direction
①②
3-decimal place Accuracy | E | < 0.5 x 10 – 3 = 0.0.0.0.5 Moving 3 positions
in the “+” direction
①②③
© Art Traynor 2011
Chemistry
The discrepancy between an exact value and some approximation
( measurement ) of it
The magnitude of the difference between the exact value
and the approximation ( e.g. ± 0.05m )
Magnitudes are always expressed
as absolute values and are thus
always positive numbers
Measurement
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
Error
 Etiology of Error
n Approximation Error
n Absolute Error ( Tolerance )
© Art Traynor 2011
Chemistry
Measurement
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
Error
 Etiology of Error
n Relative / Fractional / Percentage Error
The absolute error expressed
as a ratio of the exact value ( e.g. 56.47 ± 0.02mm )
0.02mm
56.47mm
=
Absolute Error
Exact Value
= 0.0004 → ( 0.0.0.04 ) ( 100% ) = 0.04%
Relative Error ➀ ➁ Percentage Error
© Art Traynor 2011
Chemistry
Measurement
Examples: 843.6m or 843.0m or 800.0m
implies a margin of error of 0.05m or ± 0.05m
843.55m ≤ x ≤ 843.65m (nominal 843.6m)
842.95m ≤ x ≤ 843.05m (nominal 843.0m)
800.95m ≤ x ≤ 800.05m (nominal 840.0m)
An interval composed such that its mean is situated
equidistant to a difference and sum of the absolute error
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
Error
 Etiology of Error
n Margin of Error
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Uncertainty
A parameter associated with an observation relating the
probabilistic dispersion of the Magnitude.
As previously noted (essential
elements of a Measurement )
 Precision & Accuracy
Instruments of measurement feature a graduated scale
( enumerated intervals incremented in the ordering
metric appropriate to the measurand aspect to be
quantified/recorded, e.g. weight, volume, length ). 1 2 3
mm
Measurement Instrument Precision ( MIP )
A measurement instrument’s precision is given
by the magnitude of its least graduation
Measurement Reading Precision ( MRP )
The measure to be recorded will be 1/10 the MIP
MIP
10
= = 0.001 x 10 – 1
MIP = 0.001M = 1mm
MRP = 0.0.001 M = 0.1mm
➀
0.001M
10
MIP
MRP
n
n
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
 Precision & Accuracy
Certain Digits ( CD )
The digital cardinality ( i.e. count of digits ) of the MIP
constitute that part of the measurement which is certain
| MIP | = n = CD
Uncertain Digits ( UCD )
The additional digit supplied by the MRP is estimated
and thus considered Uncertain
| MRP | = n + 1 = UCD
Significant Figures of Measurement ( SFOM )
The count of all certain digits plus that of the first
uncertain digit
n
n
n
© Art Traynor 2011
Chemistry
Precision
The degree of closeness to which a quantitative
measurement approximates the true value of
the quantity measured
Measurement
Precision & Accuracy
The agreement of a particular
experimental result with its true
result
Section 1.4, ( Pg. 11 )
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
 Precision & Accuracy
Random or Indeterminate Error
Introduces an equal probability of
the measurement registering either
high or low from its true value
Ideal
Accurate & Precise
Neither Accurate
nor Precise
n
o
© Art Traynor 2011
Chemistry
Accuracy
The degree to which repeated measurements (under
unchanged conditions) yield the same results
Measurement
Precision & Accuracy
The agreement of a particular
experimental result with its true
result
Section 1.4, ( Pg. 11 )
Measurement
A quantity ascertained by observation characterized by:
Uncertainty
 Precision & Accuracy
Systematic or Determinate Error
Introduces a bias error manifesting in a
consistent deviation in experimental
result from the measurand true value
Ideal
Accurate & Precise
Precise but
not Accurate
n
o
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
Significant Figures of Measurement ( SFOM )
 Uncertainty
Significant Figures of Computation ( SFOC )
Exponential ( Scientific ) Notation
Normalized Scientific Notation ( NSN )
Engineering Scientific Notation ( ESN )
n
n
n
n
n
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
Significant Figures of Measurement ( SFOM )
The count of all certain digits plus that of the first
uncertain digit
 Uncertainty
As previously noted (essential
elements of a Measurement )
Significant Figures of Computation ( SFOC )
All non-zero digits are considered significant
Zeros bounded by non-zeros are significant
Leading zeros are not significant
Trailing zeros following a decimal point are significant
Trailing zeros not accompanied by a decimal point are ambiguous
A decimal point may be placed after the number
to ratify the significance of the trailing zeros
Integers or Fractions are considered to be significant
“ Captive ” Zeros
Section 1.4, ( Pg. 13 )
“ Leading ” Zeros do nothing
more than locate a (string of)
sig figs relative to a decimal
numerical representation
n
n
o
o
o
o
o
o

© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
Significant Figures of Measurement ( SFOM )
The count of all certain digits plus that of the first
uncertain digit
 Uncertainty
As previously noted (essential
elements of a Measurement )
Significant Figures of Computation ( SFOC )
Exact Numbers are considered significant
Sect 1.5, pg 9
Section 1.4, ( Pg. 13 )
“ Exact ” Numbers are those not
derived from measurement,
akin to discrete enumeration
derived from counting, or Ex
Vi Termini ( EVT – from
definition ), which have an
unlimited number of Sig Figs
Exponential ( Scientific ) Notation
whereby a number with a surfeit of zeros (either large or small in relative magnitude)
or otherwise populated by digits beyond those necessary for the desired precision ( sig figs )
A species of mathematic operation (exponentiation)
is alternatively expressed as the product of a coefficient ( reduced to only its sig figs )
and a multiplier-constant (ten) indexed by an integer.
a x 10b
n
n
n
o
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Exponential ( Scientific ) Notation
whereby a number with a surfeit of zeros (either large or small in relative magnitude)
or otherwise populated by digits beyond those necessary for the desired precision ( sig figs )
A species of mathematic operation (exponentiation)
is alternatively expressed as the product of a coefficient ( reduced to only its sig figs )
and a multiplier-constant (ten) indexed by an integer.
a x 10b
Example: “ 350 ”
 350 = 3.5.0.0 = 3.5 x 102


Representing integers by
scientific notation (resultant)
entails movement of the
decimal in the “ + “ direction
① ②
Moving 2 positions
in the “+” direction
350 = 35.0.0 = 35.0 x 101
①
Moving 1 position
in the “+” direction
350 = 350.0 = 350.0 x 100
i
Moving 0 positions
in the “+” direction
n
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Exponential ( Scientific ) Notation
a x 10b
Normalized Scientific Notation ( NSN )
“ a ” is bounded between one and ten, 1 ≤ |a | < 10 , which allows
for easy comparison of two numbers so expressed as the exponent “ b ”
in this form represents the product’s order of magnitude
The exponent “ b ” is chosen so that the absolute value of the coefficient
For numbers with absolute value between zero and one, 0 < |a | < 1
the exponent b, is expressed as a negative index (e.g. – 5 x 10-1 )
Examples: – 0.5 = – 0.5.0 = – 5.0 x 10-1
➀
Moving 1 position
in the “–” direction
Representing a decimal by
scientific notation (resultant)
entails movement of the
decimal in the “ – “ direction
Wikipedia
n
n
o
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
In ESN the exponent “ b ” is restricted to multiples of three
so that the absolute value of the coefficient “ a ” lies between
one and one-thousand, 1 ≤ |a | < 1000 ,
which allows for easy comparison of two numbers so expressed
as the exponent “ b ” corresponds to specific SI prefixes
Example: “ 0.0000000125m ” →
12.5 x 10-9m “ twelve-point-five nanometers ”
1.25 x 10-8m “ one-point-two-five times ten-to-the-negative-eight meters ”
⑨
( 0.0.0.0.0.0.0.0.1.25 ) = 1.25 x 10-8 m
⑧① ②③ ④ ⑤⑥ ⑦
Moving 8 positions
in the “–” direction
( 0.0.0.0.0.0.0.0.1.2.5 ) = 12.5 x 10-9 m
⑧① ②③ ④ ⑤⑥ ⑦
Moving 9 positions
in the “–” direction
Engineering Scientific Notation ( ESN )
o
Wikipedian
o
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Significant Figures of Computation ( SFOC )
o Arithmetic: Addition/Subtraction
The number of significant figure decimal places
in the sum or difference of the operation
should equal the smallest number of decimal places
in any of the operands
Multiplicative: Multiplication/Division
The number of significant figures
in the product or quotient of the operation
is the same as the number of significant figures
in the least accurate of the operands
(having the lowest number of significant figures)
n
o
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Significant Figures of Computation ( SFOC )
o Arithmetic: Addition/Subtraction
The number of significant figure decimal places
in the sum or difference of the operation
should equal the smallest number of decimal places
in any of the operands
Example:
123
+ 5.35
≠ 128.35
= 128
3 Sig Figs, 0 Decimal Places
3 Sig Figs, 2 Decimal Places
5 Sig Figs > 3 Sig Figs (2 Decimals)
3 Sig Figs, 0 Decimals
n
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Significant Figures of Computation ( SFOC )
o Multiplicative: Multiplication/Division
L
WA = l x w
Example:
L : 16.3cm ± 0.1cm { 16.2cm – 16.4cm }
W : 4.5cm ± 0.1cm { 4.4cm – 4.6cm }
A : 16.3cm
x 4.5cm
≠ 73.35cm 2 { 71cm – 75cm }
= 73cm 2
3 Sig Figs
2 Sig Figs
4 Sig Figs > 2 Sig Figs
2 Sig Figs
Serway, pg 15
n
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Significant Figures of Computation ( SFOC )
o Rounding: Round to Integer ( RTI )

There is at least one (1) non-direct method to produce round-to-integer results
Round To Nearest – “ q” is the integer that is closest to “ y”
“ y” is the number to be rounded ( y  ℝ )
“ q” is the integer result ( q  ℤ ) of the rounding operation
n
© Art Traynor 2011
Chemistry
Measurement
Precision & Accuracy
Measurement
A quantity ascertained by observation characterized by:
 Significant Figures ( Sig Figs )
 Uncertainty
Significant Figures of Computation ( SFOC )
o Rounding: Round to Integer ( RTI )

There is at least one (1) non-direct method to produce round-to-integer results
Tie-Breaking Rule
for when “ y” is half-way between two integers, i.e. y = 0.5
Round Half-Up or round half towards +∞
q = : ⌊ y + 0.5⌋ = – ⌈ – y – 0.5⌉
Examples: ⌊ 23.5 + 0.5⌋ = 24 ;
– ⌈ – ( – 23.5 ) – 0.5⌉ = – 23
Rosen, pg 149

n
© Art Traynor 2011
Chemistry
Dimensional Analysis
Measurement – Qualities of Unit Quantities Section 1.6, (Pg. 17)
Unit Factors
Insofar as a principal salient of a phenomenological system
is its ability to be characterized by a descriptive quantification,
a well formed quantification ( i .e. measurement )
thereby consists of the following:
An ordered state of matter
possessed of attributes
capable of being
characterized by a
descriptive quantification
Phenomenological System
 Unit of Measure ( UOM )
A fundamental or ordering Metric, characteristic
of the measurand and by which class equivalencies
with like phenomena can be gauged, by which a
Relation with the magnitude of an observation
might be expressed as a scaled ratio.
 Magnitude
The Modulus or Absolute Value, | m | assigned
to represent an observation and by which a scaled
ratio relation to the UOM can be made .
Examples:
Length: 23.4 km ( Kilometers / Meters )
Mass: 38.5 lbs ( Pounds )
Time: 1:32 hrs ( Hour : Seconds )
Current: 0.32 mA ( Miliamps / Amperes )
| m | UOM
© Art Traynor 2011
Chemistry
Dimensional Analysis
Measurement – Qualities of Unit Quantities Section 1.6, (Pg. 17)
Unit Factors
 Unit of Measure ( UOM )
 Magnitude
Fundamental or Base Unit
A fundamental or ordering Metric, characteristic of
the measurand and by which class equivalencies with
like phenomena can be gauged, by which a Relation
with the magnitude of an observation might be
expressed as a scaled ratio.
A UOM from which every other
measure in its phenomenological class
can be derived.
Akin to a “Basis” or
Linearly Independent Set
Mass
Length
Time
Temperature
Electric Current
Substance Cardinality
Luminous Intensity
kilogram
meter
second
Kelvin
ampere
mole
candela
kg
m
s
K
A
mol
cd
The Seven Fundamental SI Units
Units which can be “ factored ” into other
units, or are compositions of one or more
Base Units are not fundamental, ( e.g. a
volume in Liters can equally stated in terms of length as in be
expressed as 1mL = 1cm3 , or velocity expressed in mi/hr )
n
n

© Art Traynor 2011
Chemistry
Dimensional Analysis
Measurement – Qualities of Unit Quantities Section 1.6, (Pg. 17)
Unit Factors
 Unit of Measure ( UOM )
 Magnitude
Fundamental or Base Unit
 Conversion Factor ( CF )
A ratio ( constituted of disparate UOMs evaluating to a unity ) which
has the multiplicative effect of converting one UOM into another without
affecting the magnitude of the quantity as between the operands and (
resultant ) product.
Dimensional Invariance
The operation of a physical law will hold proportionally irrespective of
the UOM employed by which to assay its effects (e.g. two buildings
will measure the same height whether measured in feet or meters).
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Dimensional Homogeneity
Only commensurable quantities ( those with identical dimension)
may be ( algebraically ) manipulated to permit:
The veracity of a computational result can frequently be
gauged by the agreement of the solution UOMs with that of
those expected to be ascertained.
 Dimensional Fidelity
Comparison
Equality
Addition
Difference
Incommensurable quantities, expressed as a ratio however, may be
employed as Conversion Factors ( CF’s ) indirectly enabling the
relations of commensurable quantities to be evaluated.
Quantities expressed in formulae
are said to be either “ Like
Dimensioned ” (in which case
operations of their Abelian Group
can be directly performed) or
“ Unlike Dimensioned ” in which
case those operations might still
be performed if those UD
quantities are expressed as ratios
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
UOMi
1
①
UOMf
1
O’Leary, Section 8.3,
Pg. 346
Akin to a Cantor Set
forming iteration
UOMi
1
→
State both the Initial and Final terms as rationals of unity
indicating the progression of the calculation LHS → RHS
An equation is constructed, with the Initial term occupying the LHS and the
Final term occupying the RHS of the equality. At least one CF will be
necessary ( presuming a CF rational featuring UOMf units as dividend and
with UOMi units for a divisor can be furnished for the calculation) in which
case the Final term is replicated on the RHS as the singular CF = CFf
UOMf
1
UOMf
1
=
Initial FinalFinal
Initial CFf Final
UOMi
2a
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
UOMi
1
Should a single CF rational with UOMf numerator and UOMi unit denominator
not be available for the calculation, at least one additional CF will need to be
introduced.
UOMf
1
UOMf
1
=
Initial CFf Final
CF’s necessary to
complete the
transformation will
be inserted here
UOMi
1
Lacking for a singular CF, the additional CF , denoted CFk , will be interpolated,
and juxtpositioned between the Initial term and CFf
UOMi
1
UOMf
1
UOMf
1
Initial CFk CFf Final
③
=
2b
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
The interpolated CF rational must then be constructed such that the
denominator of the CFk term bears UOMi units
UOMi
1 1
UOMf
1
UOMf
1
Initial CFk CFf Final
=
UOMi
④
The CF selected must further satisfy the condition that the UOM of
the CFk term numerator will transitively match a corresponding CFf
denominator to complete the desired quantity unit conversion
UOMi
1 1
UOMf
1
UOMf
1
=
UOMi
⑤
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
UOMi
1
If a CF term satisfying the condition that the UOM of the CFk term numerator
transitively match a corresponding CFf denominator term cannot quite be
had, yet another CF term will need to be introduced.
UOMf
1
UOMf
1
=
Initial CFf Final
UOMi
1
This added term – as was desired of the two-term CF case – denoted CFn,
will best be selected to form a transitive chain with the Initial and Final terms
via apposite alteration of UOMs in the numerators and denominators of the
chained terms respectively.
1 1
UOMf
1
UOMf
1
Initial CFk CFn CFf Final
=
⑥
1
CFk
UOMi
Additional
CF’s
will be
inserted here
UOMi
⑦
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
Thus constructed, the transitive chain of CF terms can be extended by further
interpolation of CFs to the chain ( denoted by either a CFk + 1 or CFn – 1
incrementation ) to accommodate any length of expression needed to effect
the desired UOM transformation
Initial CFk CFn CFf Final
UOMi
1 1 1
UOMf
1
UOMf
1UOMi
=
⑧
© Art Traynor 2011
Chemistry
Dimensional Analysis
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
AT Problem Solving Technique ( ATPST )
Example:
UOMi
1
①
UOMf
1
→
We begin by populating the UFM-PST table
with the data provided
Initial Final
A student has entered a 10.0-km run. How long is the run in miles?
Section 1.6 (Pg. 19)
10.0-km
1
Lf -mi
1
→
Problem Data & Formulae
Li = 10.0-km
UOMf = mi
CFf =
mi
km
© Art Traynor 2011
Chemistry
Dimensional Analysis
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
AT Problem Solving Technique ( ATPST )
Example:
An equation is constructed, with the Initial term occupying the
LHS and the Final term occupying the RHS of the equality.
At least one CF will be necessary ( presuming a CF rational
featuring UOMf units as dividend and with UOMi units for a
divisor can be furnished for the calculation) in which case the
Final term is replicated on the RHS as the singular CF = CFf
A student has entered a 10.0-km run. How long is the run in miles?
Section 1.6 (Pg. 19)
Problem Data & Formulae
Li = 10.0-km
UOMf = mi
CFf = ?
mi
km
UOMi
1
UOMf
1
UOMf
1
=
Initial CFf Final
UOMi
10.0-km
1
Lf -mi
1
Lf -mi
1
=
UOMi
CF1 =
1km
1000m
CF1 is not composed of the
necessary UOMs so additional
CF rationals will need to be
introduced, but it does suggest
the reciprocal will advance us
toward the solution.
mi
km
≠
≠
②
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
UOMi
1
Lacking for a singular CF, the additional CF , denoted CFk , will be
interpolated, and juxtpositioned between the Initial term and CFf
UOMi
1
UOMf
1
UOMf
1
Initial CFk CFf Final
③
=
Example:
A student has entered a 10.0-km run. How long is the run in miles?
Section 1.6 (Pg. 19)
Problem Data & Formulae
Li = 10.0-km
UOMf = mi
CFf = ?
mi
km
CF1 =
1km
1,000m mi
km
10.0-km
1
UOMi
1
Lf -mi
1
Lf -mi
1
=
UOMi -km
CF2 =
1m
1.094yd
mi
km
≠
=
≠
≠
CF2 fails to supply a CF
matching the UOMs needed.
This suggests an additional
term will need to be interpolated
to form a transitive chain (of the
form yards-per-mile).
10.0-km
1
UOMi
1
Lf -mi
1
Lf -mi
1
=
10.0-km
1,000-m
© Art Traynor 2011
Chemistry
Dimensional Analysis
Unit Factors
Method of Dimensional Analysis ( MODA )
 Factor Label Method ( FLM ) or Unit Factor Method ( UFM )
Problem Solving Technique
This added term – as was desired of the two-term CF case –
denoted CFn, will best be selected to form a transitive chain with
the Initial and Final terms via apposite alteration of UOMs in the
numerators and denominators of the chained terms respectively.
Example:
A student has entered a 10.0-km run. How long is the run in miles?
Problem Data & Formulae
Li = 10.0-km
UOMf = mi
CFf = ?
mi
km
CF1 =
1km
1,000m mi
km
CF2 =
1m
1.094yd
mi
km
≠
=
≠
≠
CF3 supplies the missing UOM (in
reciprocal) equivalency we need to
complete the transitive chain,
which also matches up with the
UOM terms in the CFn term
10.0-km
1 1 1
Lf -mi
1
Lf -mi
1
Initial CFk CFn CFf Final
=
10.0-km
1,000-m
CF3 =
1,760 yd
1mi
mi
km
≠
≠
10.0-km
1 1 1
1-mi
1
Lf -mi
1
=
10.0-km
1,000-m
④
1-m
1.094-yd
1,760-yd
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Mathematical Implications
Mathematical Implications of DA
 Dimension
The indexed product of a fundamental physical Metric
( e.g. Length, Mass, Time, Charge, Temperature )
by a rational argument is said to constitute the Dimension of that
phenomenological equivalence class ( i.e. physical quantity )
Scale Unit
The notion of Dimension is hierarchically distinct
from the notion of Scale Unit
Mass
Scale Unit
Pound ( lb )Gram ( g )
Dimension
( of Mass )
Scale Units
( in the Mass Dimension )
Any Legth has a Dimension of “L”
irrespective of what units of
“Length” are selected by which to
make a measure ( see
Dimensional Invariance )
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Mathematical Implications
Mathematical Implications of DA
 Dimension
The fundamental physical Metrics constituting physical dimensions are
further characterized by the following properties:
Abelian Group over ℚ
Vector Space over ℚ
The fundamental physical Metrics are understood to
constitute a Basis for this Vector Space
n
A Change of Basis is similarly effected, as in any other
vector space, yielding alternate systems of units ( e.g.
whether the unit for Charge is derived from the unit for
Current or vice versa )
n
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
 Constitute Linear Combinations of the
Dimensional ( Fundamental ) Scale Units
The validity of the Factor Label Method ( FLM ) or Unit Factor Method
( UFM ) is limited to well-formed Conversion Factors ( CF’s ) which:
 Feature homogenous solution sets ( i.e. with intercepts
intersecting the vector space at its coordinate origin ).
and
Temperature CFs ( in particular ) are problematic because:
Celsius ↔ FahrenheitCelsius ↔ Kelvin
Constant Difference∆
∝ In-Constant Ratio
In-Constant Difference∆
∝ In-Constant Ratio
Temperature can summarily be
defined as a measure of the
internal energy present in an
phenomenological system
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
The validity of the Factor Label Method ( FLM ) or Unit Factor Method
( UFM ) is limited to well-formed Conversion Factors ( CF’s ) which:
Temperature CFs ( in particular ) are problematic because:
Celsius ↔ FahrenheitCelsius ↔ Kelvin
Constant Difference∆
∝ In-Constant Ratio
In-Constant Difference∆
∝ In-Constant Ratio
Conversion Factors ( CF’s )
100 °C
212 °F – 32 °F
°F =
A ratio of the scale
interval over which
water H2O maintains
a liquid state
100 °C
180 °F
°F = = °C + 32
5
9
°C = °K – 273.15
Conversion Factors ( CF’s )
– 40° C = – 40° F
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
The validity of the Factor Label Method ( FLM ) or Unit Factor Method
( UFM ) is limited to well-formed Conversion Factors ( CF’s ) which:
Temperature CFs ( in particular ) are problematic because:
Celsius ↔ FahrenheitCelsius ↔ Kelvin
Constant Difference∆
∝ In-Constant Ratio
In-Constant Difference∆
∝ In-Constant Ratio
Conversion Factors ( CF’s )
100 °C
212 °F – 32 °F
°C =
A ratio of the scale
interval over which
water H2O maintains
a liquid state
100 °C
180 °F
°C = = ( °F – 32 )
9
5
°K = °C + 273.15
Conversion Factors ( CF’s )
– 40° C = – 40° F
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
 Fahrenheit °F
The “scaling” of the various standards of Temperature measure accounts for
the CF difficulty in applying FLM / UFM
After Daniel Gabriel Fahrenheit ( 1686 – 1736 ) ,
German Physicist

Tripartite Reference Interval ( defining unit scale )
Ambient Body Temperature ranks 96°Fn
Frigorific Equilibrium of water-ice H2O
slurry ranks 32°F
n
Frigorific Equilibrium of Ammonium Chloride
NH4CL ranks 0°F
n Danzig
Polish-Lithuanian
Commonwealth
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
 Celsius °C
The “scaling” of the various standards of Temperature measure
accounts for the CF difficulty in applying FLM / UFM
After Anders Celsius ( 1701 – 1744 ) ,
Swedish Astronomer

Original Bipartite Reference Interval ( defining unit scale )
Boiling point of water H2O ranks 100°Cn
Freezing point of water H2O ranks 0°Cn
Grand Principality of
Transylvania
Contemporary Bipartite Reference Interval
Triple Point of water H2O ranks 100°Cn
Absolute zero 0°K = – 273.15°Cn
o The Triple Point of a substance is that unique
temperature and pressure at which the three phases
coexist in thermodynamic equilibrium
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
 Celsius °C
The “scaling” of the various standards of Temperature measure
accounts for the CF difficulty in applying FLM / UFM
After Anders Celsius ( 1701 – 1744 ) ,
Swedish Astronomer

Grand Principality of
Transylvania
The Celsius and Kelvin temperature scales share
the same interval (defined by the partition of
the interval between absolute zero 0°K and the
Triple Point of water H2O at 273.15 °K ,
or one part in 273.15, or 0.003661).
n
Contemporary Bipartite Reference Interval
| Ttp – T0 |
1
= I
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
 Celsius °C
The “scaling” of the various standards of Temperature measure
accounts for the CF difficulty in applying FLM / UFM
After Anders Celsius ( 1701 – 1744 ) ,
Swedish Astronomer

Grand Principality of
Transylvania
Contemporary Bipartite Reference Interval
Interval System of Measure
The Celsius system employs a relative scale of
measure, as opposed to the absolute scales on
which other fundamental scale units are
premised
200-ft is twice as long as 100-ft, but 20°C water does
not is not twice as thermally energetic as 10°C water
n
© Art Traynor 2011
Chemistry
Dimensional Analysis
Wiki “Dimensional Analysis”
Limitations
Linear Homogeneity Restriction
 Kelvin °K
The “scaling” of the various standards of Temperature measure
accounts for the CF difficulty in applying FLM / UFM
After William Thompson, Lord (Baron) Kelvin
( 1824 – 1907 ) , British Mathematical Physicist

Grand Principality of
Transylvania
United Kingdom
of Great Britain
& Ireland
Interval System of Measure
A unit of measure for Temperature premised on a
Thermodynamic, or absolute, scale and one of the
seven base units of the SI system
Coincident with the Celsius scale intervaln
o Preserving simplicity by a “ constant difference ”
in conversion between the two systems
© Art Traynor 2011
Chemistry
Properties of Substances
Density
Density : ⍴ (rho)
A fundamental property of any substances is its density.
Density is the mass per unit volume of any substance
There are several related notions
⍴ = →
m
V
mass
volume
Units are Kilograms per Cubic Meter
kg
m3
© Art Traynor 2011
Chemistry
Properties of Substances
Density
Density : ⍴ (rho)
A fundamental property of any substances is its density.
Density is the mass per unit volume of any substance
 Specific or Unit Weight

The weight per unit volume of a material
⍴ = → in
m
V
mass
volumeThere are several related notions
Units are Newtons per Cubic Meter
N
m3
kg
m3
m
s2
G in
γ = ⍴ · G → · G → →
m
V
m · G
V
w
V
Can be affected by variations in Temperature and
Pressure ( via the Bulk Modulus of the material )

© Art Traynor 2011
Chemistry
Properties of Substances
Density
Density : ⍴ (rho)
A fundamental property of any substances is its density.
Density is the mass per unit volume of any substance
 Specific or Unit Weight
The weight per unit volume of a material
⍴ = → in
m
V
mass
volumeThere are several related notions
kg
m3
γ = → in
w
V
weight
volume
N
m3
 Relative Density
Density expressed as a ratio of one material to a
referent material
RD =
⍴s
⍴r
© Art Traynor 2011
Chemistry
Properties of Substances
Density
Density : ⍴ (rho)
A fundamental property of any substances is its density.
Density is the mass per unit volume of any substance
 Specific or Unit Weight
The weight per unit volume of a material
⍴ = → in
m
V
mass
volumeThere are several related notions
kg
m3
γ = → in
w
V
weight
volume
N
m3
 Relative Density
Density expressed as a ratio of one material to a
referent material
Specific Gravity
Relative Density expressed as a ratio of a material to
water ( the referent material )
RD =
⍴s
⍴r
© Art Traynor 2011
Chemistry
Properties of Substances
Density
Density : ⍴ (rho)
A fundamental property of any substances is its density.
Density is the mass per unit volume of any substance
 Specific or Unit Weight
The weight per unit volume of a material
⍴ = → in
m
V
mass
volumeThere are several related notions
kg
m3
γ = → in
w
V
weight
volume
N
m3
RD =
⍴s
⍴r
 Densities do not necessarily correlate to atomic masses
 Atomic spacings and crystalline structure
affect elemental density
 Avagadro’s Number
Density derived Metrics such as Molar
Volume encode Avagadro’s Number and
their dependence on atomic masses
n
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Matter”
Structure of Matter
Definition of Matter
Matter comprises the fundamental ontological constituents of which a
phenomenological system is composed, classically reckoned as that which
occupies space ( i.e. characterized by volume ) and expresses a mass
 Properly excludes massless Particles ( e.g. Photon )
 Not to be conflated with Mass
“Particles” do not
necessarily
constitute Matter!
Matter can assume a continuum of states of aggregation, determined by
intrinsic quantifiable parameters such as pressure, temperature, and
volume.
States / Phases of Matter
 Solid
 Liquid
 Gas
 Exotics ( Plasma, Super-states, Condensates )
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Substance”
Structure of Matter
Matter can assume a continuum of states of aggregation, determined by
intrinsic quantifiable parameters such as pressure, temperature, and
volume.
States / Phases of Matter
 Solid : Characterized by Rigidity
 Liquid : Characterized by Volumetric Fluidity
 Gas : Characterized by Volumetric and Morphological Fluidity
 Fixed Volume
 Fixed Shape ( Morphology )
 Fixed Volume
 Indeterminate Shape ( Morphology )
 Indeterminate Volume
 Indeterminate Shape ( Morphology )
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Matter”
Structure of Matter
Definition of Matter
Matter comprises the fundamental ontological constituents of which a
phenomenological system is composed, classically reckoned as that which
occupies space ( i.e. characterized by volume ) and expresses a mass
 Properly excludes massless Particles ( e.g. Photon )
 Not to be conflated with Mass
“Particles” do not
necessarily
constitute Matter!
Definition of Substance
A configuration of Matter featuring:
 Constant Chemical Composition
 Characteristic Properties
cannot be separated into more
elemental components without
breaking chemical bonds
Not to be conflated
with a mixture
From which Law of
Constant Composition
arises
Suited to both an Element
and a Homogenous
“Compound”
© Art Traynor 2011
Chemistry
Principles
Structure of Matter
A species of Substance :
 Composed of two or more Elements, characterized by :
Definition of Compound
 Constant Composition / Unique Chemical Structure
 Resolution into Elements via Chemical Processes
Substance criteria
 Bonded ( Structure )
Fixed ratio of Atoms ( e.g. Formula )n
 Representation by a Formula
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Element”
Structure of Matter
Definition of Element
Definition of Mixture
Elements are those fundamental constituents of matter uniquely
characterized by an atomic number, the chemical properties of which
obey a periodic verisimilitude ordering distinctive phenomenological classes
among its representatives.
A mixture is a combination of unbound substances, capable of
separation, the constituents of which remain chemically distinct and
irreducible.
Wiki: “ Mixture”
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Element”
Structure of Matter
Definition of Element
Elements are those fundamental constituents of matter uniquely
characterized by an atomic number, the chemical properties of
which obey a periodic verisimilitude ordering distinctive
phenomenological classes among its representatives.
 Properties of Elements
 Atomic Number
Proton Cardinalityn
An element’s Atomic Number provides the cardinality
of the protons in its nucleus
Singularity of Atomic Numbern
Each element has a unique and singular atomic number
exclusively distinguishing it from any other element
Aluminium
2
13
26.9815386
GIIIA (13): Post-Transition Metal
P3
8
[Ne]3s23p1
3
Metal
Al
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Element”
Structure of Matter
Definition of Element
Elements are those fundamental constituents of matter uniquely
characterized by an atomic number, the chemical properties of
which obey a periodic verisimilitude ordering distinctive
phenomenological classes among its representatives.
 Properties of Elements
Aluminium
2
13
26.9815386
GIIIA (13): Post-Transition Metal
P3
8
[Ne]3s23p1
3
Metal
Al Periodicity
Chemical properties of the Elements were observed
to recur with regular recurrence, the patterns of
which are encoded in the Periodic Table
Al13
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Element”
Structure of Matter
Definition of Element
Elements are those fundamental constituents of matter uniquely
characterized by an atomic number, the chemical properties of
which obey a periodic verisimilitude ordering distinctive
phenomenological classes among its representatives.
 Properties of Elements
Aluminium
2
13
26.9815386
GIIIA (13): Post-Transition Metal
P3
8
[Ne]3s23p1
3
Metal
Al Periodicity
The table is superficially organized into
Groups ( columns ) and Periods ( rows )
Al13
13
3
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Element”
Structure of Matter
Definition of Element
Elements are those fundamental constituents of matter uniquely
characterized by an atomic number, the chemical properties of
which obey a periodic verisimilitude ordering distinctive
phenomenological classes among its representatives.
 Properties of Elements
Aluminium
2
13
26.9815386
GIIIA (13): Post-Transition Metal
P3
8
[Ne]3s23p1
3
Metal
Al Periodicity
Groups collect Elements with similar chemical
properties and exhibit trends in Atomic Radius
( Positively ) and in Electron Affinity and
Ionization Energy ( Inversely )
n
①
②
③
3d
④⑤ ⑥ ⑦⑧⑨ 10 11 12
13 14 16 17
18
15
Al13
© Art Traynor 2011
Chemistry
Principles
Wiki: “ Chemical Element”
Structure of Matter
Definition of Element
Elements are those fundamental constituents of matter uniquely
characterized by an atomic number, the chemical properties of
which obey a periodic verisimilitude ordering distinctive
phenomenological classes among its representatives.
 Properties of Elements
Aluminium
2
13
26.9815386
GIIIA (13): Post-Transition Metal
P3
8
[Ne]3s23p1
3
Metal
Al Periodicity
Periods collect Elements with similar electronic
structure ( incremented by Atomic Number ) and
exhibit trends in Electron Affinity and Ionization
Energy ( positively ), and Atomic Radius ( Inversely )
n
1
2
4
5
6
7
Al133
© Art Traynor 2011
Chemistry
Principles
Structure of Matter
Definition of Mixture
A mixture is a combination of unbound substances, capable of
separation, the constituents of which remain chemically distinct and
irreducible.
Wiki: “ Mixture”
 Properties of Mixtures
HeterogenousHomogenous
Visually Indistinguishable
Constituents
N N
 Absence of Chemical Bonds
The main distinguishing characteristic of a mixture is the homogeneity of its composition
Visually Distinct Constituents
o Solution
( Gaseous /Aqueous /Concretion )
 Variable Composition
© Art Traynor 2011
Chemistry
Principles
Fundamental Laws of Chemistry
Law of Conservation of Mass ( LOCOM )
For a phenomenological system,
closed to extraneous transfers of Matter & Energy,
the Mass of the system must remain constant over time,
implying:
 Mass can neither be created or destroyed
Section 2.1 (Pg. 44)
 Mass can only be spatially rearranged
Law of Definite Proportion ( LODP )
A chemical compound always contains
exactly the same proportion of Elements by Mass
Section 2.1 (Pg. 44)
© Art Traynor 2011
Chemistry
Principles
Fundamental Laws of Chemistry
Conservation of Mass
For a phenomenological system,
closed to extraneous transfers of Matter & Energy,
the Mass of the system must remain constant over time,
implying:
 Mass can neither be created or destroyed
Section 2.1 (Pg. 44)
 Mass can only be spatially rearranged
Definite Proportion
A chemical compound always contains
exactly the same proportion of Elements by Mass
Section 2.1 (Pg. 44)
Multiple Proportions
For two Elements
capable of forming at least two distinct Compounds
the ratios of the Masses of the second element combining with one gram of the first
will always reduce to a small whole number
Section 2.1 (Pg. 44)
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Dalton’s “ New System of Chemical Philosophy ”
 Each element is composed of miniscule particles or Atoms
Section 2.3 (Pg. 46)
 The Atoms of a Element are identical
United KingdomCounty of Cumbria
1766 – 1844
JohnDalton
 Compounds are composed of disparate Elements and always
expresses the same relatives numbers and species of Atoms
 Reactions entail the reorganization of Atoms ( in the
manner in which they are bound ) and remain
unaffected fundamentally by a reaction
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Avogadro’s Hypothesis
 At constant/equal Temperature and Pressure:
Section 2.3 (Pg. 46)
Kingdom of SardiniaCity of Turin
1776 – 1856
AmadeoAvogadro
Refining the volumetric gas reactant results of Joseph Gay-Lussac ,
Avogadro postulated that gasses combine – irrespective of molecular
size – in equal volumes and thus equal particulate cardinality
 Equal volumes of disparate ( reactant ) gasses contain the
same number of particles
 Implying the sizes of the particles are negligible compared to
the distances separating constituent particles
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Thomson’s Cathode Ray Particles ( Electrons )
 The particles exhibit directionality – they emanate at the negative
electrode ( i.e. Cathode ) and terminate at the positive ( i.e. Anode )
Section 2.3 (Pg. 50)
United KingdomCounty of Lincolnshire
1856 – 1940
Joseph John ( J.J. )
Thomson
High voltage applied to an evacuated tube produces a stream of particles
between electrodes observed to possess the following properties:
 The particle stream ( i.e. Cathode Rays ) are repelled by the
negative pole of an applied electric field.
First observed in 1869 by German
physicist Johann Hittorf, named in
1876 by Eugen Goldstein
Kathodenstrahlen ( i.e. “ Cathode ” )
 The Charge-to-Mass ratio of the constituent particles in the
stream can be determined by a measurement of deflection of the
stream subject to a magnetic field :
charge
mass = = 1.76 x 108 C/g
e
m
 Electrodes of various metallic composition were each observed to
produce Cathode Rays , implying that all atoms must contain
the negative charge particles thus designated “ Electrons ”
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Thomson’s Plum Pudding Atomic Model
 As the Atom exhibited electrical ( charge ) neutrality ,
the Atom must be composed of a particle with
opposite and equal charge as the Electron
Section 2.3 (Pg. 50)
United KingdomCounty of Lincolnshire
1856 – 1940
Joseph John ( J.J. )
Thomson
Thomson’s description of the Electron lead to a compositional
conjecture concerning the structure of the Atom
 Thomson further speculated that this positive charge
would be randomly distributed throughout the Atom
with the negatively charged Electrons embedded within
the atomic composition ( i.e. a ‘Plum Pudding’ of
heterogenous particles )
The Plum Pudding analogy was first
proposed by Lord Baron Kelvin,
William Thomson ( unrelated )
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Millikan’s Derivation of the Electron Mass
 The Oil Drop experiment allowed Millikan to arrive at a
precise value for the magnitude of the Electron Unit Charge
Section 2.3 (Pg. 51)
United StatesState of Illinois
1868 – 1953
Robert Andrews Millikan
Millikan contrived an experiment whereby the free-fall of charged
oil droplets within an atmospherically controlled chamber could be
halted ( equalized to the force of G ) by the application of a
voltage across two oppositely charged plates
The Plum Pudding analogy was first
proposed by Lord Baron Kelvin,
William Thomson ( unrelated )
 Applying this Electron Unit Charge magnitude to J.J. Thomson’s
Charge-to-Mass Ratio allowed Millikan to posit a precise Mass
for the Electron at 9.11 x 10 – 31 kg
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Becquerel’s Discovery of Radiation
 Becquerel’s results subsequently led to the tri-partite radiation
emission classifications :
Section 2.3 (Pg. 52)
Republic of France
Historical Province
of Brittany
1852 – 1908
Antoine Henri Becquerel
Becquerel serendipitously noted that a concealed Uranium mineral
was able to impart an image to an unexposed photographic plate
Region of Pays de la Loire
Department of Loire-Atlantique
 αParticle
Carries a 2+ Charge ( opposite & twice the Electron )n
7300 times the Mass of the Electron !n
 β Particle
A high-speed Electronn
 γ Ray
A form of high-energy “ light ”n
© Art Traynor 2011
Chemistry
Atomic Theory
Historical Development
Rutherford’s Characterization of the Nucleus
 A source utilizing Becquerel’s alpha particles
Section 2.3 (Pg. 52)
1871 – 1937
Earnest Rutherford
Rutherford devised an experiment to test Thomson’s Plum Pudding
model of the Atom whereby :
 αParticle
Carries a 2+ Charge ( opposite & twice the Electron )n
7300 times the Mass of the Electron !n
Realm of New Zealand
Is trained on a gold foil target to probe the structure of the atom by
dispersion of the source in collision/deflection with the target
Occasional , significant deflection of the source – through large
angles – led to the conclusion that the Atom must be composed of
a concentrated , positive-charge massive “ nucleus ”
Minimal deflection of the majority of the source moreover led to the added
conjecture that the atom must be composed mostly of “ open space ”
© Art Traynor 2011
Chemistry
Atomic Structure
Modern Understanding
The Modern View of Atomic Structure
 Nuclear Diameter : ~ 10 – 13 cm
Section 2.5 (Pg. 53)
 Atomic Diameter : ~ 10 – 8 cm The margin at which the electrons
are observed to circulate the nucleus
 Atomic Nucleus
 Protons
Positive Chargen
Charge Equal in Magnitude to the Electron’s Negative Chargen
 Neutrons
No Charge ( Neutral )n
Same ( essentially ) Mass as Protonn
 Nuclear Size is minimal compared to Atomic Radii
 Nuclear Density accounts for most all the Mass of the Atom
The Electrons constitute the vast
majority of the Atomic Volume
© Art Traynor 2011
Chemistry
Atomic Structure
Atomic Particles
Atomic Particles Section 2.5 (Pg. 53)
Electron 9.11 x 10 – 31 kg 1–
The Atomic Constituent Particles
Proton 1.67 x 10 – 27 kg 1+
Neutron 1.67 x 10 – 27 kg 0
( 1.60 x 10 – 19 C )
( 1.60 x 10 – 19 C )
Particle Mass Charge
© Art Traynor 2011
Chemistry
Atomic Structure
Atomic Variants
Isotope Section 2.5 (Pg. 54)
A Chemical Element variant in which the cardinality of its
Neutron constituents differs from its Atomic Number
( e. g. its Proton content which crucially imparts its unique
identity as a distinct Element).
 All isotopes of an Element bear the same Atomic Number
 All isotopes of an Element share the same number of Protons
 All isotopes of an Element share the same number of Protons
but a differing number of Neutrons
From the Greek “ isos ” meaning
“ equal ” and “ topos ” meaning
“ place ” evoking the notion that
Isotopes occupy the “ same place”
in the Periodic Table hierarchy
 A Nucleon is a constituent of the atomic nucleus of
which there are two classes: Protons and Neutrons
 An atom’s Mass Number reflects the cardinality of its
Nucleon constituents
Wiki: “ Isotope”
© Art Traynor 2011
Chemistry
Atomic Structure
Atomic Variants
Isotope Section 2.5 (Pg. 54)
A Chemical Element variant in which the cardinality of its
Neutron constituents differs from its Atomic Number
 All isotopes of an Element bear the same Atomic Number
From the Greek “ isos ” meaning
“ equal ” and “ topos ” meaning
“ place ” evoking the notion that
Isotopes occupy the “ same place”
in the Periodic Table hierarchy
 An atom’s Mass Number ( integer value ) reflects the
cardinality of its Nucleon constituents
Al13
27
Al13
27
Mass
Number
Atomic
Number
→
 The difference of the Mass Number and the Atomic
Number yields the cardinality of the Neutron constituent
of the Atom ( or Isotopic form of the Atom ) or the
Neutron Number
Wiki: “ Isotope”
© Art Traynor 2011
Chemistry
Atomic Combinations
Molecules
Molecules Section 2.5 (Pg. 55)
 An Electrically Neutral composition of two or more Atoms
adhered by a Chemical Bond
Wiki: “ Molecule”
 Distinguished from Ions by the absence of net Charge
 By convention Polyatomic Ions are sometimes nevertheless
referred to as Molecules
Upper Level Equivalence Classifications
 Homonuclear
A molecule composed of two or more Atoms of the same Element
( e.g. a Diatomic Molecule )
 Heteronuclear
A molecule composed of two or more Atoms of the different Elements
© Art Traynor 2011
Chemistry
Molecular Representation Section 2.5 (Pg. 55)
Wiki: “ Chemical Formula”
Chemical Formula
There are several conventional models and representations by which
the Elemental constituents of a Molecule can be represented :
Atomic Combinations
Molecules
Structural Formula
Space-Filling Models
Ball & Stick Models




© Art Traynor 2011
Chemistry
Molecular Representation Section 2.5 (Pg. 55)
Wiki: “ Chemical Formula”
Chemical Formula
There are several conventional models and representations by which
the Elemental constituents of a Molecule can be represented :
Atomic Combinations
Molecules

A symbolic Molecular representation composed of the following:
 Alpha characters indicating the constituent
Elements of the Molecule ( 1 – 3 characters )
 Numeric subscripts indicate the cardinality of individual Elements in the
molecular composition ( after the fashion of a multiplicative factor )
Polyatomic Ionic constituents are further demarcated by parenthetical inclusion, with
like subscription indicating multiplicity ( as with Elemental molecular constituents )
n
 Ionic constituents may be further denoted by an explicit ( superscripted )
Charge designation ( + / – ) , where a multiplicity of unit charge is
indicated by an integer coefficient ( if greater than unity )
© Art Traynor 2011
Chemistry
Molecular Representation Section 2.5 (Pg. 55)
Wiki: “ Chemical Formula”
Chemical Formula
There are several conventional models and representations by which
the Elemental constituents of a Molecule can be represented :
Atomic Combinations
Molecules
Structural Formula


A Molecular representation composed of the symbolism of the
Chemical Formula ( and multiplicity conventions ) supplemented
by Bond and Spatial Orientation representations :
 Dashed lines portray 3D receding molecular constituents
whereas graduated wedges portray 3D orientation
projecting from a 2D representational surface
© Art Traynor 2011
Chemistry
Molecules
Bonding
Chemical Bond Section 2.5 (Pg. 55)
 An attraction between Atoms enabling the formation of
Chemical Substances composed of two or more Atoms
 The electrons and nuclei constituting the Substance formed
 The Bond originates in an electrostatic force of attraction resulting from:
 A Dipole moment among the Bonded Substance
Wiki: “ Chemical Bond”
 Strong Bonds
 Bonds can also be characterized by their relative strength
Covalent Bondingn
Ionic Bondingn
 Weak Bonds
Dipole-Dipole Interactionsn
London Dispersion Forcen
Hydrogen Bondingn
© Art Traynor 2011
Chemistry
Molecules
Bonding
Chemical Bonds - Classified Section 2.5 (Pg. 55)
Wiki: “ Covalent Bond”
 Strong Bonds
 Bonds can also be characterized by their relative strength
Covalent Bondingn
A Bond fashioned by the sharing of Electrons as
between the constituent Elements of a Molecule
o Only a distinct number of Electrons participate in
the Bond and are thus designated the Shared Pairs
or Bonding Pairs
o Covalent Bonding can proceed to the extent that each
Atom in the Molecular composition is considered to
have thus attained a full outer shell corresponding to
a stable ( energetically minimized ) Electronic
configuration
© Art Traynor 2011
Chemistry
Chemical Bonds - Classified Section 2.5 (Pg. 55)
Wiki: “ Covalent Bond”
 Strong Bonds
 Bonds can also be characterized by their relative strength
Ionic Bonding ( Electrovalence )n
A Bond fashioned by the electrostatic attraction as between oppositely
charged Ions among the constituent Elements of a Molecule
o An Ion with electron cardinality less than its Elemental Atomic
Number – a Cation – will exhibit a positive charge, the magnitude
of which is an integer multiple of product of the unit Charge and the
difference between its Atomic Number and electron cardinality
Atomic Combinations
Molecules
o An Ion with electron cardinality greater than its Elemental Atomic
Number – a Anion – will exhibit a negative charge, the magnitude
of which is an integer multiple of product of the unit Charge and the
difference between its electron cardinality and Atomic Number
© Art Traynor 2011
Chemistry
Chemical Bonds - Classified Section 2.5 (Pg. 55)
Wiki: “ Covalent Bond”
 Strong Bonds
 Bonds can also be characterized by their relative strength
Ionic Bonding ( Electrovalence )n
A Bond fashioned by the electrostatic attraction as between oppositely
charged Ions among the constituent Elements of a Molecule
Typical interaction/product species include:
o A metal and non-metal wherein a net transfer of electrons proceeds to
such extent that both atoms achieve a state wherein their valence shells
can be considered to be simultaneously filled
Atomic Combinations
Molecules
o Reactants wherein a relatively large difference in Electronegativity
exists between constituent species
o Salts
© Art Traynor 2011
Chemistry
Chemical Bonds - Classified Section 2.5 (Pg. 55)
Wiki: “ Covalent Bond”
 Strong Bonds
 Bonds can also be characterized by their relative strength
Ionic Bonding ( Electrovalence )n
A Bond fashioned by the electrostatic attraction as between oppositely
charged Ions among the constituent Elements of a Molecule
Typical interaction species can be characterized by:
o Electrical conductivity ( in solution or molten state )
Atomic Combinations
Molecules
o Aqueous solubility
© Art Traynor 2011
Chemistry
Structure of Matter
Wiki: “ Chemical Element”
Periodicity
Definition of Element
Elements are those fundamental constituents of matter uniquely characterized by an
atomic number, the chemical properties of which obey a periodic verisimilitude
ordering distinctive phenomenological classes among its representatives.
 Properties of Elements
 Periodicity: Chemical properties of the Elements were observed to recur with
regular recurrence, the patterns of which are encoded in the Periodic Table
Upper Level Equivalence Classifications
 Metals
 Non-Metals
© Art Traynor 2011
Chemistry
Structure of Matter
Wiki: “ Chemical Element”
Periodicity
Properties of Metals
 Ready Conductors of Heat & Electricity
Malleable ( can be formed into thin sheets )
 Ductile ( can be formed into wires )
Lustrous appearance
 Electron Donors forming Positive Ions ( typically )
Properties of Non-Metals
 Tend to form Diatomic ( Homonucelar ) Molecules
Reactions with metals tend to produce Ionic Salts
Electron Receptors forming Negative Ions ( typically )
© Art Traynor 2011
Chemistry
Structure of Matter
Periodicity
Families of Elements ( Groups )
The Elements may be further classified according to representative “ families ”
exhibiting similar chemical properties. These class-similar elements are arrayed
within the Periodic Table vertically into Groups
Second Level Equivalence Classifications
 Alkali Metals ( Group 1 )
Section 2.7 (Pg. 60)
Hydrogen, Lithium, Sodium, Potassium, Cesium, Francium
Tend to form 1+ Ions when reacted with non-metalsn
①
H1
Na11
Li3
K19
Rb37
Cs55
Fr87
© Art Traynor 2011
Chemistry
Structure of Matter
Periodicity
Families of Elements ( Groups )
The Elements may be further classified according to representative “ families ”
exhibiting similar chemical properties. These class-similar elements are arrayed
within the Periodic Table vertically into Groups
Second Level Equivalence Classifications
 Alkaline Earth Metals ( Group 2 )
Section 2.7 (Pg. 60)
Beryllium, Magnesium, Calcium, Strontium, Barium, Radium
Tend to form 2+ Ions when reacted with non-metalsn
Mg12
Be4
Ca20
Sr38
Ba56
Ra88
②
© Art Traynor 2011
Chemistry
Structure of Matter
Periodicity
Families of Elements ( Groups )
The Elements may be further classified according to representative “ families ”
exhibiting similar chemical properties. These class-similar elements are arrayed
within the Periodic Table vertically into Groups
Section 2.7 (Pg. 60)
Second Level Equivalence Classifications
 Halogens ( Group 17 )
Fluorine, Chlorine, Bromine, Iodine, Astatine, Ununseptium
Tend to form 1 – Ionic Salts when reacted with metalsn
17
F9
Uus117
I53
Br35
At85
Cl17
© Art Traynor 2011
Chemistry
Structure of Matter
Periodicity
Families of Elements ( Groups )
The Elements may be further classified according to representative “ families ”
exhibiting similar chemical properties. These class-similar elements are arrayed
within the Periodic Table vertically into Groups
Section 2.7 (Pg. 60)
Second Level Equivalence Classifications
 Nobel Gases ( Group 18 )
Helium, Neon, Argon, Krypton, Xenon, Radon, Ununoctium
Tend to manifest as gases with little propensity for Chemical Reactionn
18
Uuo118
Ar18
Ne10
Kr36
Xe54
Rn86
He2

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Chemistry-Introduction_150921_01e

  • 1. © Art Traynor 2011 Chemistry Principles Scientific Method Section 1.2, (Pg. 5) Zumdahl ? ? ? ? Pro-Forma (Secret Shopper) Audit/Survey Pro-Forma (Secret Shopper) Audit/Survey Overture Letter/Proposal Overture Letter/Proposal Permissive Store Visit or Mockup Permissive Store Visit or Mockup Scientific Method ? Ordered State of Matter Exhibits a Change of State The Fidelity of Empirical Observation is Evaluated against the Prediction of the Hypothesis Emendations to Theory are Adopted by Replication of Results s initial state terminal state A falsifiable Hypothesis is Averred to Account for the Observed Change of State An Experiment is devised to test the Validity of the Hypothesis Scientific Method A systematic method of inquiry by which the state of a phenomenological system or a change in its state can be empirically characterized by the predictions of a causal relation that can be falsified by experiment with repeatable results. Experimental Results are Reconciled with applicable Scientific Laws and Theories Section 1.2 (Pg. 3) McQuarrie, et al.
  • 2. © Art Traynor 2011 Chemistry Principles Scientific Method Scientific Method A methodology for characterizing the behavior of a phenomenological system. The system must admit measurement Section 1.2, (Pg. 4) Phenomena Hypothesis Empirical ( Measurable ) Theory ( Conjecture ) Falsifiable ( Refutable ) Replicable ( Reproducible ) Systematic Experiment Observation Organized Predictable Qualitative Quantitative Procedure ( Operation) Measurement Number Unit Testing Interpretive Results Model Explanative Refining Consistent System Process ( Reaction ) Behavior Logical Consequence Population Null – Alternative Formulation Analysis Question Simplicity Principle of Parsimony Occam’s Razor Correlation Causation Conflation Selection Bias Confirmation Bias Hindsight Bias (Postdiction) Control Accuracy Precision Uncertainty ( Error ) Confirmation Heuristic Data
  • 3. © Art Traynor 2011 Chemistry Principles Phenomenological System Phenomenological System An ordered state of matter possessed of attributes capable of being characterized by a descriptive quantification Section 1.2, (Pg. 5) Zumdahl
  • 4. © Art Traynor 2011 Chemistry Principles Scientific Law Law of Science It’s not so much a Law… as a Good Idea A durable declaration – premised on uncontroverted, aggregated observation, such as to suggest universal validity – inferring the operation of a causal relation accounting for a particular change of state within a phenomenological system. A Scientific Law should not be thought of a Theory that has graduated status with the accumulation of additional evidence Section 1.2, (Pg. 5) Zumdahl Section 1.2 (Pg. 3) McQuarrie, et al.  Does not proffer Explanation !  Summarizes a Relationship
  • 5. © Art Traynor 2011 Chemistry Principles Scientific Theory A Theory is typically much broader in scope than a Scientific Law, which is much more limited in the scope of its explanatory compass Section 1.2, (Pg. 5)Theory A well-substantiated explanation – premised on systematic observation and experiment ( typical of The Scientific Method ) – inferring the existence of a causal relation accounting for a particular change of state within a phenomenological system. A valid theory is characterized by the following:  Falsifiable Prediction with Consistent Accuracy  Empirically Premised on Observation and/or Experiment  Parsimonious as to Alternatives  Adaptive to Supplemental Data  Replicable Results Explanation explanandum less obvious more obvious elucidation A Theory can incorporate several Scientific Laws  Represents a Unification of Ideas ( derivative of one or more laws )  Cannot be Proven Correct
  • 6. © Art Traynor 2011 Chemistry Principles Scientific Theory Section 1.2, (Pg. 5)Theory A well-substantiated explanation – premised on systematic observation and experiment ( typical of The Scientific Method ) – inferring the existence of a causal relation accounting for a particular change of state within a phenomenological system.  Logical Positivistic Explanation explanandum less obvious more obvious elucidationNumerous epistemological interpretations of the Scientific Method have emerged to enrichen its vitality: Theories are to be considered as analogous to mathematical axioms – a propositional form 
  • 7. © Art Traynor 2011 Chemistry Principles Scientific Theory Section 1.2, (Pg. 5)Theory A well-substantiated explanation – premised on systematic observation and experiment ( typical of The Scientific Method ) – inferring the existence of a causal relation accounting for a particular change of state within a phenomenological system. Explanation explanandum less obvious more obvious elucidationNumerous epistemological interpretations of the Scientific Method have emerged to enrichen its vitality:  Models Theories are to be considered as analogous to mathematical axioms 
  • 8. © Art Traynor 2011 Chemistry Principles Hypothesis Hypothesis A conjecture arising from the formulation of an empirical (scientific) question which supplies a plausible explanation to account for a particular change of state observed to occur within a phenomenological system.  Null Hypothesis  Alternative Hypothesis The conjecture that experiment will falsify a relation posited to account for a particular change of state observed to occur within a phenomenological system. The preferred conjecture that experiment will verify a relation posited to account for a particular change of state observed to occur within a phenomenological system. Essentially synonymous with Conjecture, however Conjecture is more formally defined in Mathematics as a Proposition for which a Proof has yet to be stated
  • 9. © Art Traynor 2011 Chemistry Principles Hypothesis Hypothesis A conjecture arising from the formulation of an empirical (scientific) question which supplies a plausible explanation to account for a particular change of state observed to occur within a phenomenological system. A distillation of Question Formulation Criteria as proposed by Dietrich Dörner with subsequent expansion /refinement by Joachim Funke  Transparency ( Intransparency )  Polytely ( Objective Multiplicity/Profusion , “ mission creep ” )  Complexity  Dynamics
  • 10. © Art Traynor 2011 Chemistry Principles Experiment Experiment An ordered procedure by which to establish the validity of a Hypothesis purporting to characterize a phenomenological system or to otherwise account for any observed change of state within the system. Observation Qualitative – phenomena are characterized according to Class Equivalencies Color Odor Reactivity    Quantitative – susceptible to measurement Section 1.2 (Pg. 5) McQuarrie, et al.
  • 11. © Art Traynor 2011 Chemistry Principles Chemistry Chemistry A discipline within the Physical Sciences dedicated to the explication of the Composition Structure Properties Changes of State Of ( or within ) a phenomenological system. Chemistry seeks to describe the properties of Individual Atoms ( Elements ) Bonding Intermolecular Forces Reactions          Chemistry is regarded as a “ Central Science ” as its precepts are of equal explanatory force within the related disciplines of Physics, Geology, and Biology  Wiki “Chemistry”
  • 12. © Art Traynor 2011 Chemistry Principles Chemistry Chemistry The etymology of “ Chemistry ” can be traced through several alternatively plausible origins  Alchemy al-kīmīā ( Arabic ) χημεία or chemeia ( Greek – “ cast together ” ) Khem – ( ancient Greek name for Egypt, for their prowess in metalworking )     Wiki “Chemistry” Kim Mi – ( Chinese for “ the secret of Gold ” )
  • 13. © Art Traynor 2011 Chemistry Principles Measurement Measurement A quantity ascertained by observation characterized by:  Magnitude  Unit The Modulus or Absolute Value, | m | assigned to represent the observation. The ordering Metric by which a Relation with the magnitude of the observation might be expressed as a scaled ratio. Section 1.3, (Pg. 7)  Uncertainty A parameter associated with an observation relating the probabilistic dispersion of the Magnitude. Measurand – that quantifiable aspect of a phenomenological system by which class equivalences can be metrically determined Measurand – the object of the measurement Measurement – the estimation of the ratio (typically attribute differences) between the magnitude of a continuous quantity and a unit magnitude of the same class.
  • 14. © Art Traynor 2011 Chemistry Principles Measurement – Qualities of Unit Quantities Unit quantities can be classed as one of two types:  Extensive Quantities Classes of phenomena admitting a Concatenation operation . Section 1.3, (Pg. 7) Also known as Base Quantities Examples: Length, Mass, Time, Electrical Resistance, Plane Angle, etc.   Intensive Quantities Classes of phenomena not admitting a Concatenation operation . Examples: Temperature, etc. Measurement
  • 15. © Art Traynor 2011 Chemistry Measurement SI Units Systèm Internationale ( SI ) Fundamental SI Units Mass Length Time Temperature Electric Current Substance Cardinality Luminous Intensity kilogram meter second Kelvin ampere mole candela kg m s K A mol cd There are only seven Fundamental SI Units “Dimension” is rigorously defined as the indexed product of a fundamental physical Metric ( of which there are precisely five ) Dimension Name Abbreviation Section 1.4, ( Pg. 11 ) Variable m l t T I n The notion of “Dimension” is hierarchically distinct from the notion of a “ Scale Unit ” “Dimension” is conceived to describe a distinct phenomenological equivalence class on which a relation to a measurand can be defined by a scaled ratio A “Fundamental” unit is one from which every other measure in its phenomenological class can be derived (akin to vector Basis, or Linearly Independent Set)
  • 16. © Art Traynor 2011 Chemistry Measurement SI Units Systèm Internationale ( SI ) Additional SI (?) Units Physical Quantity Name Abbreviation Variable Volume Liter L v Inductance Henry H L Units which can be “ factored ” into other units, or are com- positions of one or more Base Units are not fundamental, ( e.g. a volume in Liters can be equally stated in terms of length as in 1mL = 1cm3 , or velocity expressed in mi/hr ) Capacitance Farad F C Resistance Ohm Ω R Electro-Motive Force Volt V E Electric Charge Coulomb C Q
  • 17. © Art Traynor 2011 Chemistry Measurement SI Units Systèm Internationale ( SI ) Additional Units – Compound Units Physical Quantity Name Abbreviation Variable Density Kilogram L  Compound Units A composition of measures drawn from two or more of the fundamental units. Liter kg ⍴= kg · L – 1 v m =
  • 18. © Art Traynor 2011 Chemistry Measurement SI Units Systèm Internationale ( SI ) Fundamental SI Units  Mass A measure characterizing the Inertia of a body, or its resistance to a change in its state of motion ( i.e. the Force necessary to impart a certain acceleration ).  Weight The response of a Mass to the Force of Gravity .  Temperature A measure of the relative tendency of heat to escape a radiant body . Section 1.2 (Pg. 5) McQuarrie, et al.
  • 19. © Art Traynor 2011 Chemistry Measurement SI Units 10 – 24 10 – 21 10 – 18 10 – 15 10 – 12 10 – 9 10 – 6 10 – 3 10 – 2 10 – 1 Yocto y 10 24YottoY Zepto z 10 21ZettaZ Atto a 10 18ExaE Fempto f 10 15PetaP Pico P 10 12TeraT Nano n 10 9GigaG Micro μ 10 6MegaM Milli m 10 3Kilok Centi c 10 2 Deci d 10 1Dekada Hectoh Systèm Internationale ( SI ) Unit Prefixes
  • 20. © Art Traynor 2011 Chemistry Measurement SI Units Systèm Internationale ( SI ) Additional SI Units 1m = 10dm 10dm = 1m 1m = 10dm 1 meter = 10 decimeters Length Volume 1 m3 = 1,000 dm3 or 1,000 L 1dm3 = 1L 1cm3 = 1mL 1 decimeter = 10 centimeters 1 dm3 = 1,000 cm3 or 1 mL 1dm = 10 cm 1dm = 10 cm 1dm = 10 cm
  • 21. © Art Traynor 2011 Chemistry Measurement Uncertainty Measurement A quantity ascertained by observation characterized by:  Uncertainty A parameter associated with an observation relating the probabilistic dispersion of the Magnitude. As previously noted (essential elements of a Measurement )  Etiology of Error  Precision & Accuracy  Significant Figures ( Sig Figs )
  • 22. © Art Traynor 2011 Chemistry Measurement Error Measurement A quantity ascertained by observation characterized by:  Uncertainty A parameter associated with an observation relating the probabilistic dispersion of the Magnitude. As previously noted (essential elements of a Measurement )  Etiology of Error n Systematic Error Error which is introduced into a measurement by a defect in the measurement device n Sensitivity Error Error which is introduced into a measurement by an overspecification of device precision Characterized by a posteriori “ predictable ” error
  • 23. © Art Traynor 2011 Chemistry Measurement Measurement A quantity ascertained by observation characterized by:  Uncertainty A parameter associated with an observation relating the probabilistic dispersion of the Magnitude. As previously noted (essential elements of a Measurement )  Etiology of Error n Random Error Non-systematic error ( typically ) introduced into the measurement by factors other than those inhering to the measurement device ( e.g. human factors ) Characterized by a posteriori “ unpredictable ” error This species of error can be systematically characterized by a Probability Density Function ( PDF ) o Error
  • 24. © Art Traynor 2011 Chemistry The discrepancy between an exact value and some approximation ( measurement ) of it Measurement Measurement A quantity ascertained by observation characterized by: Uncertainty Error  Etiology of Error n Approximation Error Swok, Section 11.5, Pg. 560o If “ E” represents error in an approximation, the approximation can be considered accurate to “ k” decimal places if the modulus of “ E” is less than the product of five-tenths and ten indexed to the minus “ k” 1-decimal place Accuracy | E | < 0.5 x 10 – 1 = 0.0.5 ① Moving 1 position in the “+” direction k-decimal place Accuracy | E | < 0.5 x 10 – k 2-decimal place Accuracy | E | < 0.5 x 10 – 2 = 0.0.0.5 Moving 2 positions in the “+” direction ①② 3-decimal place Accuracy | E | < 0.5 x 10 – 3 = 0.0.0.0.5 Moving 3 positions in the “+” direction ①②③
  • 25. © Art Traynor 2011 Chemistry The discrepancy between an exact value and some approximation ( measurement ) of it The magnitude of the difference between the exact value and the approximation ( e.g. ± 0.05m ) Magnitudes are always expressed as absolute values and are thus always positive numbers Measurement Measurement A quantity ascertained by observation characterized by: Uncertainty Error  Etiology of Error n Approximation Error n Absolute Error ( Tolerance )
  • 26. © Art Traynor 2011 Chemistry Measurement Measurement A quantity ascertained by observation characterized by: Uncertainty Error  Etiology of Error n Relative / Fractional / Percentage Error The absolute error expressed as a ratio of the exact value ( e.g. 56.47 ± 0.02mm ) 0.02mm 56.47mm = Absolute Error Exact Value = 0.0004 → ( 0.0.0.04 ) ( 100% ) = 0.04% Relative Error ➀ ➁ Percentage Error
  • 27. © Art Traynor 2011 Chemistry Measurement Examples: 843.6m or 843.0m or 800.0m implies a margin of error of 0.05m or ± 0.05m 843.55m ≤ x ≤ 843.65m (nominal 843.6m) 842.95m ≤ x ≤ 843.05m (nominal 843.0m) 800.95m ≤ x ≤ 800.05m (nominal 840.0m) An interval composed such that its mean is situated equidistant to a difference and sum of the absolute error Measurement A quantity ascertained by observation characterized by: Uncertainty Error  Etiology of Error n Margin of Error
  • 28. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Uncertainty A parameter associated with an observation relating the probabilistic dispersion of the Magnitude. As previously noted (essential elements of a Measurement )  Precision & Accuracy Instruments of measurement feature a graduated scale ( enumerated intervals incremented in the ordering metric appropriate to the measurand aspect to be quantified/recorded, e.g. weight, volume, length ). 1 2 3 mm Measurement Instrument Precision ( MIP ) A measurement instrument’s precision is given by the magnitude of its least graduation Measurement Reading Precision ( MRP ) The measure to be recorded will be 1/10 the MIP MIP 10 = = 0.001 x 10 – 1 MIP = 0.001M = 1mm MRP = 0.0.001 M = 0.1mm ➀ 0.001M 10 MIP MRP n n
  • 29. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by: Uncertainty  Precision & Accuracy Certain Digits ( CD ) The digital cardinality ( i.e. count of digits ) of the MIP constitute that part of the measurement which is certain | MIP | = n = CD Uncertain Digits ( UCD ) The additional digit supplied by the MRP is estimated and thus considered Uncertain | MRP | = n + 1 = UCD Significant Figures of Measurement ( SFOM ) The count of all certain digits plus that of the first uncertain digit n n n
  • 30. © Art Traynor 2011 Chemistry Precision The degree of closeness to which a quantitative measurement approximates the true value of the quantity measured Measurement Precision & Accuracy The agreement of a particular experimental result with its true result Section 1.4, ( Pg. 11 ) Measurement A quantity ascertained by observation characterized by: Uncertainty  Precision & Accuracy Random or Indeterminate Error Introduces an equal probability of the measurement registering either high or low from its true value Ideal Accurate & Precise Neither Accurate nor Precise n o
  • 31. © Art Traynor 2011 Chemistry Accuracy The degree to which repeated measurements (under unchanged conditions) yield the same results Measurement Precision & Accuracy The agreement of a particular experimental result with its true result Section 1.4, ( Pg. 11 ) Measurement A quantity ascertained by observation characterized by: Uncertainty  Precision & Accuracy Systematic or Determinate Error Introduces a bias error manifesting in a consistent deviation in experimental result from the measurand true value Ideal Accurate & Precise Precise but not Accurate n o
  • 32. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs ) Significant Figures of Measurement ( SFOM )  Uncertainty Significant Figures of Computation ( SFOC ) Exponential ( Scientific ) Notation Normalized Scientific Notation ( NSN ) Engineering Scientific Notation ( ESN ) n n n n n
  • 33. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs ) Significant Figures of Measurement ( SFOM ) The count of all certain digits plus that of the first uncertain digit  Uncertainty As previously noted (essential elements of a Measurement ) Significant Figures of Computation ( SFOC ) All non-zero digits are considered significant Zeros bounded by non-zeros are significant Leading zeros are not significant Trailing zeros following a decimal point are significant Trailing zeros not accompanied by a decimal point are ambiguous A decimal point may be placed after the number to ratify the significance of the trailing zeros Integers or Fractions are considered to be significant “ Captive ” Zeros Section 1.4, ( Pg. 13 ) “ Leading ” Zeros do nothing more than locate a (string of) sig figs relative to a decimal numerical representation n n o o o o o o 
  • 34. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs ) Significant Figures of Measurement ( SFOM ) The count of all certain digits plus that of the first uncertain digit  Uncertainty As previously noted (essential elements of a Measurement ) Significant Figures of Computation ( SFOC ) Exact Numbers are considered significant Sect 1.5, pg 9 Section 1.4, ( Pg. 13 ) “ Exact ” Numbers are those not derived from measurement, akin to discrete enumeration derived from counting, or Ex Vi Termini ( EVT – from definition ), which have an unlimited number of Sig Figs Exponential ( Scientific ) Notation whereby a number with a surfeit of zeros (either large or small in relative magnitude) or otherwise populated by digits beyond those necessary for the desired precision ( sig figs ) A species of mathematic operation (exponentiation) is alternatively expressed as the product of a coefficient ( reduced to only its sig figs ) and a multiplier-constant (ten) indexed by an integer. a x 10b n n n o
  • 35. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Exponential ( Scientific ) Notation whereby a number with a surfeit of zeros (either large or small in relative magnitude) or otherwise populated by digits beyond those necessary for the desired precision ( sig figs ) A species of mathematic operation (exponentiation) is alternatively expressed as the product of a coefficient ( reduced to only its sig figs ) and a multiplier-constant (ten) indexed by an integer. a x 10b Example: “ 350 ”  350 = 3.5.0.0 = 3.5 x 102   Representing integers by scientific notation (resultant) entails movement of the decimal in the “ + “ direction ① ② Moving 2 positions in the “+” direction 350 = 35.0.0 = 35.0 x 101 ① Moving 1 position in the “+” direction 350 = 350.0 = 350.0 x 100 i Moving 0 positions in the “+” direction n
  • 36. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Exponential ( Scientific ) Notation a x 10b Normalized Scientific Notation ( NSN ) “ a ” is bounded between one and ten, 1 ≤ |a | < 10 , which allows for easy comparison of two numbers so expressed as the exponent “ b ” in this form represents the product’s order of magnitude The exponent “ b ” is chosen so that the absolute value of the coefficient For numbers with absolute value between zero and one, 0 < |a | < 1 the exponent b, is expressed as a negative index (e.g. – 5 x 10-1 ) Examples: – 0.5 = – 0.5.0 = – 5.0 x 10-1 ➀ Moving 1 position in the “–” direction Representing a decimal by scientific notation (resultant) entails movement of the decimal in the “ – “ direction Wikipedia n n o
  • 37. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty In ESN the exponent “ b ” is restricted to multiples of three so that the absolute value of the coefficient “ a ” lies between one and one-thousand, 1 ≤ |a | < 1000 , which allows for easy comparison of two numbers so expressed as the exponent “ b ” corresponds to specific SI prefixes Example: “ 0.0000000125m ” → 12.5 x 10-9m “ twelve-point-five nanometers ” 1.25 x 10-8m “ one-point-two-five times ten-to-the-negative-eight meters ” ⑨ ( 0.0.0.0.0.0.0.0.1.25 ) = 1.25 x 10-8 m ⑧① ②③ ④ ⑤⑥ ⑦ Moving 8 positions in the “–” direction ( 0.0.0.0.0.0.0.0.1.2.5 ) = 12.5 x 10-9 m ⑧① ②③ ④ ⑤⑥ ⑦ Moving 9 positions in the “–” direction Engineering Scientific Notation ( ESN ) o Wikipedian o
  • 38. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Significant Figures of Computation ( SFOC ) o Arithmetic: Addition/Subtraction The number of significant figure decimal places in the sum or difference of the operation should equal the smallest number of decimal places in any of the operands Multiplicative: Multiplication/Division The number of significant figures in the product or quotient of the operation is the same as the number of significant figures in the least accurate of the operands (having the lowest number of significant figures) n o
  • 39. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Significant Figures of Computation ( SFOC ) o Arithmetic: Addition/Subtraction The number of significant figure decimal places in the sum or difference of the operation should equal the smallest number of decimal places in any of the operands Example: 123 + 5.35 ≠ 128.35 = 128 3 Sig Figs, 0 Decimal Places 3 Sig Figs, 2 Decimal Places 5 Sig Figs > 3 Sig Figs (2 Decimals) 3 Sig Figs, 0 Decimals n
  • 40. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Significant Figures of Computation ( SFOC ) o Multiplicative: Multiplication/Division L WA = l x w Example: L : 16.3cm ± 0.1cm { 16.2cm – 16.4cm } W : 4.5cm ± 0.1cm { 4.4cm – 4.6cm } A : 16.3cm x 4.5cm ≠ 73.35cm 2 { 71cm – 75cm } = 73cm 2 3 Sig Figs 2 Sig Figs 4 Sig Figs > 2 Sig Figs 2 Sig Figs Serway, pg 15 n
  • 41. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Significant Figures of Computation ( SFOC ) o Rounding: Round to Integer ( RTI )  There is at least one (1) non-direct method to produce round-to-integer results Round To Nearest – “ q” is the integer that is closest to “ y” “ y” is the number to be rounded ( y  ℝ ) “ q” is the integer result ( q  ℤ ) of the rounding operation n
  • 42. © Art Traynor 2011 Chemistry Measurement Precision & Accuracy Measurement A quantity ascertained by observation characterized by:  Significant Figures ( Sig Figs )  Uncertainty Significant Figures of Computation ( SFOC ) o Rounding: Round to Integer ( RTI )  There is at least one (1) non-direct method to produce round-to-integer results Tie-Breaking Rule for when “ y” is half-way between two integers, i.e. y = 0.5 Round Half-Up or round half towards +∞ q = : ⌊ y + 0.5⌋ = – ⌈ – y – 0.5⌉ Examples: ⌊ 23.5 + 0.5⌋ = 24 ; – ⌈ – ( – 23.5 ) – 0.5⌉ = – 23 Rosen, pg 149  n
  • 43. © Art Traynor 2011 Chemistry Dimensional Analysis Measurement – Qualities of Unit Quantities Section 1.6, (Pg. 17) Unit Factors Insofar as a principal salient of a phenomenological system is its ability to be characterized by a descriptive quantification, a well formed quantification ( i .e. measurement ) thereby consists of the following: An ordered state of matter possessed of attributes capable of being characterized by a descriptive quantification Phenomenological System  Unit of Measure ( UOM ) A fundamental or ordering Metric, characteristic of the measurand and by which class equivalencies with like phenomena can be gauged, by which a Relation with the magnitude of an observation might be expressed as a scaled ratio.  Magnitude The Modulus or Absolute Value, | m | assigned to represent an observation and by which a scaled ratio relation to the UOM can be made . Examples: Length: 23.4 km ( Kilometers / Meters ) Mass: 38.5 lbs ( Pounds ) Time: 1:32 hrs ( Hour : Seconds ) Current: 0.32 mA ( Miliamps / Amperes ) | m | UOM
  • 44. © Art Traynor 2011 Chemistry Dimensional Analysis Measurement – Qualities of Unit Quantities Section 1.6, (Pg. 17) Unit Factors  Unit of Measure ( UOM )  Magnitude Fundamental or Base Unit A fundamental or ordering Metric, characteristic of the measurand and by which class equivalencies with like phenomena can be gauged, by which a Relation with the magnitude of an observation might be expressed as a scaled ratio. A UOM from which every other measure in its phenomenological class can be derived. Akin to a “Basis” or Linearly Independent Set Mass Length Time Temperature Electric Current Substance Cardinality Luminous Intensity kilogram meter second Kelvin ampere mole candela kg m s K A mol cd The Seven Fundamental SI Units Units which can be “ factored ” into other units, or are compositions of one or more Base Units are not fundamental, ( e.g. a volume in Liters can equally stated in terms of length as in be expressed as 1mL = 1cm3 , or velocity expressed in mi/hr ) n n 
  • 45. © Art Traynor 2011 Chemistry Dimensional Analysis Measurement – Qualities of Unit Quantities Section 1.6, (Pg. 17) Unit Factors  Unit of Measure ( UOM )  Magnitude Fundamental or Base Unit  Conversion Factor ( CF ) A ratio ( constituted of disparate UOMs evaluating to a unity ) which has the multiplicative effect of converting one UOM into another without affecting the magnitude of the quantity as between the operands and ( resultant ) product. Dimensional Invariance The operation of a physical law will hold proportionally irrespective of the UOM employed by which to assay its effects (e.g. two buildings will measure the same height whether measured in feet or meters).
  • 46. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Dimensional Homogeneity Only commensurable quantities ( those with identical dimension) may be ( algebraically ) manipulated to permit: The veracity of a computational result can frequently be gauged by the agreement of the solution UOMs with that of those expected to be ascertained.  Dimensional Fidelity Comparison Equality Addition Difference Incommensurable quantities, expressed as a ratio however, may be employed as Conversion Factors ( CF’s ) indirectly enabling the relations of commensurable quantities to be evaluated. Quantities expressed in formulae are said to be either “ Like Dimensioned ” (in which case operations of their Abelian Group can be directly performed) or “ Unlike Dimensioned ” in which case those operations might still be performed if those UD quantities are expressed as ratios
  • 47. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique UOMi 1 ① UOMf 1 O’Leary, Section 8.3, Pg. 346 Akin to a Cantor Set forming iteration UOMi 1 → State both the Initial and Final terms as rationals of unity indicating the progression of the calculation LHS → RHS An equation is constructed, with the Initial term occupying the LHS and the Final term occupying the RHS of the equality. At least one CF will be necessary ( presuming a CF rational featuring UOMf units as dividend and with UOMi units for a divisor can be furnished for the calculation) in which case the Final term is replicated on the RHS as the singular CF = CFf UOMf 1 UOMf 1 = Initial FinalFinal Initial CFf Final UOMi 2a
  • 48. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique UOMi 1 Should a single CF rational with UOMf numerator and UOMi unit denominator not be available for the calculation, at least one additional CF will need to be introduced. UOMf 1 UOMf 1 = Initial CFf Final CF’s necessary to complete the transformation will be inserted here UOMi 1 Lacking for a singular CF, the additional CF , denoted CFk , will be interpolated, and juxtpositioned between the Initial term and CFf UOMi 1 UOMf 1 UOMf 1 Initial CFk CFf Final ③ = 2b
  • 49. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique The interpolated CF rational must then be constructed such that the denominator of the CFk term bears UOMi units UOMi 1 1 UOMf 1 UOMf 1 Initial CFk CFf Final = UOMi ④ The CF selected must further satisfy the condition that the UOM of the CFk term numerator will transitively match a corresponding CFf denominator to complete the desired quantity unit conversion UOMi 1 1 UOMf 1 UOMf 1 = UOMi ⑤
  • 50. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique UOMi 1 If a CF term satisfying the condition that the UOM of the CFk term numerator transitively match a corresponding CFf denominator term cannot quite be had, yet another CF term will need to be introduced. UOMf 1 UOMf 1 = Initial CFf Final UOMi 1 This added term – as was desired of the two-term CF case – denoted CFn, will best be selected to form a transitive chain with the Initial and Final terms via apposite alteration of UOMs in the numerators and denominators of the chained terms respectively. 1 1 UOMf 1 UOMf 1 Initial CFk CFn CFf Final = ⑥ 1 CFk UOMi Additional CF’s will be inserted here UOMi ⑦
  • 51. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique Thus constructed, the transitive chain of CF terms can be extended by further interpolation of CFs to the chain ( denoted by either a CFk + 1 or CFn – 1 incrementation ) to accommodate any length of expression needed to effect the desired UOM transformation Initial CFk CFn CFf Final UOMi 1 1 1 UOMf 1 UOMf 1UOMi = ⑧
  • 52. © Art Traynor 2011 Chemistry Dimensional Analysis Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) AT Problem Solving Technique ( ATPST ) Example: UOMi 1 ① UOMf 1 → We begin by populating the UFM-PST table with the data provided Initial Final A student has entered a 10.0-km run. How long is the run in miles? Section 1.6 (Pg. 19) 10.0-km 1 Lf -mi 1 → Problem Data & Formulae Li = 10.0-km UOMf = mi CFf = mi km
  • 53. © Art Traynor 2011 Chemistry Dimensional Analysis Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) AT Problem Solving Technique ( ATPST ) Example: An equation is constructed, with the Initial term occupying the LHS and the Final term occupying the RHS of the equality. At least one CF will be necessary ( presuming a CF rational featuring UOMf units as dividend and with UOMi units for a divisor can be furnished for the calculation) in which case the Final term is replicated on the RHS as the singular CF = CFf A student has entered a 10.0-km run. How long is the run in miles? Section 1.6 (Pg. 19) Problem Data & Formulae Li = 10.0-km UOMf = mi CFf = ? mi km UOMi 1 UOMf 1 UOMf 1 = Initial CFf Final UOMi 10.0-km 1 Lf -mi 1 Lf -mi 1 = UOMi CF1 = 1km 1000m CF1 is not composed of the necessary UOMs so additional CF rationals will need to be introduced, but it does suggest the reciprocal will advance us toward the solution. mi km ≠ ≠ ②
  • 54. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique UOMi 1 Lacking for a singular CF, the additional CF , denoted CFk , will be interpolated, and juxtpositioned between the Initial term and CFf UOMi 1 UOMf 1 UOMf 1 Initial CFk CFf Final ③ = Example: A student has entered a 10.0-km run. How long is the run in miles? Section 1.6 (Pg. 19) Problem Data & Formulae Li = 10.0-km UOMf = mi CFf = ? mi km CF1 = 1km 1,000m mi km 10.0-km 1 UOMi 1 Lf -mi 1 Lf -mi 1 = UOMi -km CF2 = 1m 1.094yd mi km ≠ = ≠ ≠ CF2 fails to supply a CF matching the UOMs needed. This suggests an additional term will need to be interpolated to form a transitive chain (of the form yards-per-mile). 10.0-km 1 UOMi 1 Lf -mi 1 Lf -mi 1 = 10.0-km 1,000-m
  • 55. © Art Traynor 2011 Chemistry Dimensional Analysis Unit Factors Method of Dimensional Analysis ( MODA )  Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) Problem Solving Technique This added term – as was desired of the two-term CF case – denoted CFn, will best be selected to form a transitive chain with the Initial and Final terms via apposite alteration of UOMs in the numerators and denominators of the chained terms respectively. Example: A student has entered a 10.0-km run. How long is the run in miles? Problem Data & Formulae Li = 10.0-km UOMf = mi CFf = ? mi km CF1 = 1km 1,000m mi km CF2 = 1m 1.094yd mi km ≠ = ≠ ≠ CF3 supplies the missing UOM (in reciprocal) equivalency we need to complete the transitive chain, which also matches up with the UOM terms in the CFn term 10.0-km 1 1 1 Lf -mi 1 Lf -mi 1 Initial CFk CFn CFf Final = 10.0-km 1,000-m CF3 = 1,760 yd 1mi mi km ≠ ≠ 10.0-km 1 1 1 1-mi 1 Lf -mi 1 = 10.0-km 1,000-m ④ 1-m 1.094-yd 1,760-yd
  • 56. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Mathematical Implications Mathematical Implications of DA  Dimension The indexed product of a fundamental physical Metric ( e.g. Length, Mass, Time, Charge, Temperature ) by a rational argument is said to constitute the Dimension of that phenomenological equivalence class ( i.e. physical quantity ) Scale Unit The notion of Dimension is hierarchically distinct from the notion of Scale Unit Mass Scale Unit Pound ( lb )Gram ( g ) Dimension ( of Mass ) Scale Units ( in the Mass Dimension ) Any Legth has a Dimension of “L” irrespective of what units of “Length” are selected by which to make a measure ( see Dimensional Invariance )
  • 57. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Mathematical Implications Mathematical Implications of DA  Dimension The fundamental physical Metrics constituting physical dimensions are further characterized by the following properties: Abelian Group over ℚ Vector Space over ℚ The fundamental physical Metrics are understood to constitute a Basis for this Vector Space n A Change of Basis is similarly effected, as in any other vector space, yielding alternate systems of units ( e.g. whether the unit for Charge is derived from the unit for Current or vice versa ) n
  • 58. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction  Constitute Linear Combinations of the Dimensional ( Fundamental ) Scale Units The validity of the Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) is limited to well-formed Conversion Factors ( CF’s ) which:  Feature homogenous solution sets ( i.e. with intercepts intersecting the vector space at its coordinate origin ). and Temperature CFs ( in particular ) are problematic because: Celsius ↔ FahrenheitCelsius ↔ Kelvin Constant Difference∆ ∝ In-Constant Ratio In-Constant Difference∆ ∝ In-Constant Ratio Temperature can summarily be defined as a measure of the internal energy present in an phenomenological system
  • 59. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction The validity of the Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) is limited to well-formed Conversion Factors ( CF’s ) which: Temperature CFs ( in particular ) are problematic because: Celsius ↔ FahrenheitCelsius ↔ Kelvin Constant Difference∆ ∝ In-Constant Ratio In-Constant Difference∆ ∝ In-Constant Ratio Conversion Factors ( CF’s ) 100 °C 212 °F – 32 °F °F = A ratio of the scale interval over which water H2O maintains a liquid state 100 °C 180 °F °F = = °C + 32 5 9 °C = °K – 273.15 Conversion Factors ( CF’s ) – 40° C = – 40° F
  • 60. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction The validity of the Factor Label Method ( FLM ) or Unit Factor Method ( UFM ) is limited to well-formed Conversion Factors ( CF’s ) which: Temperature CFs ( in particular ) are problematic because: Celsius ↔ FahrenheitCelsius ↔ Kelvin Constant Difference∆ ∝ In-Constant Ratio In-Constant Difference∆ ∝ In-Constant Ratio Conversion Factors ( CF’s ) 100 °C 212 °F – 32 °F °C = A ratio of the scale interval over which water H2O maintains a liquid state 100 °C 180 °F °C = = ( °F – 32 ) 9 5 °K = °C + 273.15 Conversion Factors ( CF’s ) – 40° C = – 40° F
  • 61. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction  Fahrenheit °F The “scaling” of the various standards of Temperature measure accounts for the CF difficulty in applying FLM / UFM After Daniel Gabriel Fahrenheit ( 1686 – 1736 ) , German Physicist  Tripartite Reference Interval ( defining unit scale ) Ambient Body Temperature ranks 96°Fn Frigorific Equilibrium of water-ice H2O slurry ranks 32°F n Frigorific Equilibrium of Ammonium Chloride NH4CL ranks 0°F n Danzig Polish-Lithuanian Commonwealth
  • 62. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction  Celsius °C The “scaling” of the various standards of Temperature measure accounts for the CF difficulty in applying FLM / UFM After Anders Celsius ( 1701 – 1744 ) , Swedish Astronomer  Original Bipartite Reference Interval ( defining unit scale ) Boiling point of water H2O ranks 100°Cn Freezing point of water H2O ranks 0°Cn Grand Principality of Transylvania Contemporary Bipartite Reference Interval Triple Point of water H2O ranks 100°Cn Absolute zero 0°K = – 273.15°Cn o The Triple Point of a substance is that unique temperature and pressure at which the three phases coexist in thermodynamic equilibrium
  • 63. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction  Celsius °C The “scaling” of the various standards of Temperature measure accounts for the CF difficulty in applying FLM / UFM After Anders Celsius ( 1701 – 1744 ) , Swedish Astronomer  Grand Principality of Transylvania The Celsius and Kelvin temperature scales share the same interval (defined by the partition of the interval between absolute zero 0°K and the Triple Point of water H2O at 273.15 °K , or one part in 273.15, or 0.003661). n Contemporary Bipartite Reference Interval | Ttp – T0 | 1 = I
  • 64. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction  Celsius °C The “scaling” of the various standards of Temperature measure accounts for the CF difficulty in applying FLM / UFM After Anders Celsius ( 1701 – 1744 ) , Swedish Astronomer  Grand Principality of Transylvania Contemporary Bipartite Reference Interval Interval System of Measure The Celsius system employs a relative scale of measure, as opposed to the absolute scales on which other fundamental scale units are premised 200-ft is twice as long as 100-ft, but 20°C water does not is not twice as thermally energetic as 10°C water n
  • 65. © Art Traynor 2011 Chemistry Dimensional Analysis Wiki “Dimensional Analysis” Limitations Linear Homogeneity Restriction  Kelvin °K The “scaling” of the various standards of Temperature measure accounts for the CF difficulty in applying FLM / UFM After William Thompson, Lord (Baron) Kelvin ( 1824 – 1907 ) , British Mathematical Physicist  Grand Principality of Transylvania United Kingdom of Great Britain & Ireland Interval System of Measure A unit of measure for Temperature premised on a Thermodynamic, or absolute, scale and one of the seven base units of the SI system Coincident with the Celsius scale intervaln o Preserving simplicity by a “ constant difference ” in conversion between the two systems
  • 66. © Art Traynor 2011 Chemistry Properties of Substances Density Density : ⍴ (rho) A fundamental property of any substances is its density. Density is the mass per unit volume of any substance There are several related notions ⍴ = → m V mass volume Units are Kilograms per Cubic Meter kg m3
  • 67. © Art Traynor 2011 Chemistry Properties of Substances Density Density : ⍴ (rho) A fundamental property of any substances is its density. Density is the mass per unit volume of any substance  Specific or Unit Weight  The weight per unit volume of a material ⍴ = → in m V mass volumeThere are several related notions Units are Newtons per Cubic Meter N m3 kg m3 m s2 G in γ = ⍴ · G → · G → → m V m · G V w V Can be affected by variations in Temperature and Pressure ( via the Bulk Modulus of the material ) 
  • 68. © Art Traynor 2011 Chemistry Properties of Substances Density Density : ⍴ (rho) A fundamental property of any substances is its density. Density is the mass per unit volume of any substance  Specific or Unit Weight The weight per unit volume of a material ⍴ = → in m V mass volumeThere are several related notions kg m3 γ = → in w V weight volume N m3  Relative Density Density expressed as a ratio of one material to a referent material RD = ⍴s ⍴r
  • 69. © Art Traynor 2011 Chemistry Properties of Substances Density Density : ⍴ (rho) A fundamental property of any substances is its density. Density is the mass per unit volume of any substance  Specific or Unit Weight The weight per unit volume of a material ⍴ = → in m V mass volumeThere are several related notions kg m3 γ = → in w V weight volume N m3  Relative Density Density expressed as a ratio of one material to a referent material Specific Gravity Relative Density expressed as a ratio of a material to water ( the referent material ) RD = ⍴s ⍴r
  • 70. © Art Traynor 2011 Chemistry Properties of Substances Density Density : ⍴ (rho) A fundamental property of any substances is its density. Density is the mass per unit volume of any substance  Specific or Unit Weight The weight per unit volume of a material ⍴ = → in m V mass volumeThere are several related notions kg m3 γ = → in w V weight volume N m3 RD = ⍴s ⍴r  Densities do not necessarily correlate to atomic masses  Atomic spacings and crystalline structure affect elemental density  Avagadro’s Number Density derived Metrics such as Molar Volume encode Avagadro’s Number and their dependence on atomic masses n
  • 71. © Art Traynor 2011 Chemistry Principles Wiki: “ Matter” Structure of Matter Definition of Matter Matter comprises the fundamental ontological constituents of which a phenomenological system is composed, classically reckoned as that which occupies space ( i.e. characterized by volume ) and expresses a mass  Properly excludes massless Particles ( e.g. Photon )  Not to be conflated with Mass “Particles” do not necessarily constitute Matter! Matter can assume a continuum of states of aggregation, determined by intrinsic quantifiable parameters such as pressure, temperature, and volume. States / Phases of Matter  Solid  Liquid  Gas  Exotics ( Plasma, Super-states, Condensates )
  • 72. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Substance” Structure of Matter Matter can assume a continuum of states of aggregation, determined by intrinsic quantifiable parameters such as pressure, temperature, and volume. States / Phases of Matter  Solid : Characterized by Rigidity  Liquid : Characterized by Volumetric Fluidity  Gas : Characterized by Volumetric and Morphological Fluidity  Fixed Volume  Fixed Shape ( Morphology )  Fixed Volume  Indeterminate Shape ( Morphology )  Indeterminate Volume  Indeterminate Shape ( Morphology )
  • 73. © Art Traynor 2011 Chemistry Principles Wiki: “ Matter” Structure of Matter Definition of Matter Matter comprises the fundamental ontological constituents of which a phenomenological system is composed, classically reckoned as that which occupies space ( i.e. characterized by volume ) and expresses a mass  Properly excludes massless Particles ( e.g. Photon )  Not to be conflated with Mass “Particles” do not necessarily constitute Matter! Definition of Substance A configuration of Matter featuring:  Constant Chemical Composition  Characteristic Properties cannot be separated into more elemental components without breaking chemical bonds Not to be conflated with a mixture From which Law of Constant Composition arises Suited to both an Element and a Homogenous “Compound”
  • 74. © Art Traynor 2011 Chemistry Principles Structure of Matter A species of Substance :  Composed of two or more Elements, characterized by : Definition of Compound  Constant Composition / Unique Chemical Structure  Resolution into Elements via Chemical Processes Substance criteria  Bonded ( Structure ) Fixed ratio of Atoms ( e.g. Formula )n  Representation by a Formula
  • 75. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Element” Structure of Matter Definition of Element Definition of Mixture Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives. A mixture is a combination of unbound substances, capable of separation, the constituents of which remain chemically distinct and irreducible. Wiki: “ Mixture”
  • 76. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Element” Structure of Matter Definition of Element Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives.  Properties of Elements  Atomic Number Proton Cardinalityn An element’s Atomic Number provides the cardinality of the protons in its nucleus Singularity of Atomic Numbern Each element has a unique and singular atomic number exclusively distinguishing it from any other element Aluminium 2 13 26.9815386 GIIIA (13): Post-Transition Metal P3 8 [Ne]3s23p1 3 Metal Al
  • 77. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Element” Structure of Matter Definition of Element Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives.  Properties of Elements Aluminium 2 13 26.9815386 GIIIA (13): Post-Transition Metal P3 8 [Ne]3s23p1 3 Metal Al Periodicity Chemical properties of the Elements were observed to recur with regular recurrence, the patterns of which are encoded in the Periodic Table Al13
  • 78. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Element” Structure of Matter Definition of Element Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives.  Properties of Elements Aluminium 2 13 26.9815386 GIIIA (13): Post-Transition Metal P3 8 [Ne]3s23p1 3 Metal Al Periodicity The table is superficially organized into Groups ( columns ) and Periods ( rows ) Al13 13 3
  • 79. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Element” Structure of Matter Definition of Element Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives.  Properties of Elements Aluminium 2 13 26.9815386 GIIIA (13): Post-Transition Metal P3 8 [Ne]3s23p1 3 Metal Al Periodicity Groups collect Elements with similar chemical properties and exhibit trends in Atomic Radius ( Positively ) and in Electron Affinity and Ionization Energy ( Inversely ) n ① ② ③ 3d ④⑤ ⑥ ⑦⑧⑨ 10 11 12 13 14 16 17 18 15 Al13
  • 80. © Art Traynor 2011 Chemistry Principles Wiki: “ Chemical Element” Structure of Matter Definition of Element Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives.  Properties of Elements Aluminium 2 13 26.9815386 GIIIA (13): Post-Transition Metal P3 8 [Ne]3s23p1 3 Metal Al Periodicity Periods collect Elements with similar electronic structure ( incremented by Atomic Number ) and exhibit trends in Electron Affinity and Ionization Energy ( positively ), and Atomic Radius ( Inversely ) n 1 2 4 5 6 7 Al133
  • 81. © Art Traynor 2011 Chemistry Principles Structure of Matter Definition of Mixture A mixture is a combination of unbound substances, capable of separation, the constituents of which remain chemically distinct and irreducible. Wiki: “ Mixture”  Properties of Mixtures HeterogenousHomogenous Visually Indistinguishable Constituents N N  Absence of Chemical Bonds The main distinguishing characteristic of a mixture is the homogeneity of its composition Visually Distinct Constituents o Solution ( Gaseous /Aqueous /Concretion )  Variable Composition
  • 82. © Art Traynor 2011 Chemistry Principles Fundamental Laws of Chemistry Law of Conservation of Mass ( LOCOM ) For a phenomenological system, closed to extraneous transfers of Matter & Energy, the Mass of the system must remain constant over time, implying:  Mass can neither be created or destroyed Section 2.1 (Pg. 44)  Mass can only be spatially rearranged Law of Definite Proportion ( LODP ) A chemical compound always contains exactly the same proportion of Elements by Mass Section 2.1 (Pg. 44)
  • 83. © Art Traynor 2011 Chemistry Principles Fundamental Laws of Chemistry Conservation of Mass For a phenomenological system, closed to extraneous transfers of Matter & Energy, the Mass of the system must remain constant over time, implying:  Mass can neither be created or destroyed Section 2.1 (Pg. 44)  Mass can only be spatially rearranged Definite Proportion A chemical compound always contains exactly the same proportion of Elements by Mass Section 2.1 (Pg. 44) Multiple Proportions For two Elements capable of forming at least two distinct Compounds the ratios of the Masses of the second element combining with one gram of the first will always reduce to a small whole number Section 2.1 (Pg. 44)
  • 84. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Dalton’s “ New System of Chemical Philosophy ”  Each element is composed of miniscule particles or Atoms Section 2.3 (Pg. 46)  The Atoms of a Element are identical United KingdomCounty of Cumbria 1766 – 1844 JohnDalton  Compounds are composed of disparate Elements and always expresses the same relatives numbers and species of Atoms  Reactions entail the reorganization of Atoms ( in the manner in which they are bound ) and remain unaffected fundamentally by a reaction
  • 85. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Avogadro’s Hypothesis  At constant/equal Temperature and Pressure: Section 2.3 (Pg. 46) Kingdom of SardiniaCity of Turin 1776 – 1856 AmadeoAvogadro Refining the volumetric gas reactant results of Joseph Gay-Lussac , Avogadro postulated that gasses combine – irrespective of molecular size – in equal volumes and thus equal particulate cardinality  Equal volumes of disparate ( reactant ) gasses contain the same number of particles  Implying the sizes of the particles are negligible compared to the distances separating constituent particles
  • 86. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Thomson’s Cathode Ray Particles ( Electrons )  The particles exhibit directionality – they emanate at the negative electrode ( i.e. Cathode ) and terminate at the positive ( i.e. Anode ) Section 2.3 (Pg. 50) United KingdomCounty of Lincolnshire 1856 – 1940 Joseph John ( J.J. ) Thomson High voltage applied to an evacuated tube produces a stream of particles between electrodes observed to possess the following properties:  The particle stream ( i.e. Cathode Rays ) are repelled by the negative pole of an applied electric field. First observed in 1869 by German physicist Johann Hittorf, named in 1876 by Eugen Goldstein Kathodenstrahlen ( i.e. “ Cathode ” )  The Charge-to-Mass ratio of the constituent particles in the stream can be determined by a measurement of deflection of the stream subject to a magnetic field : charge mass = = 1.76 x 108 C/g e m  Electrodes of various metallic composition were each observed to produce Cathode Rays , implying that all atoms must contain the negative charge particles thus designated “ Electrons ”
  • 87. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Thomson’s Plum Pudding Atomic Model  As the Atom exhibited electrical ( charge ) neutrality , the Atom must be composed of a particle with opposite and equal charge as the Electron Section 2.3 (Pg. 50) United KingdomCounty of Lincolnshire 1856 – 1940 Joseph John ( J.J. ) Thomson Thomson’s description of the Electron lead to a compositional conjecture concerning the structure of the Atom  Thomson further speculated that this positive charge would be randomly distributed throughout the Atom with the negatively charged Electrons embedded within the atomic composition ( i.e. a ‘Plum Pudding’ of heterogenous particles ) The Plum Pudding analogy was first proposed by Lord Baron Kelvin, William Thomson ( unrelated )
  • 88. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Millikan’s Derivation of the Electron Mass  The Oil Drop experiment allowed Millikan to arrive at a precise value for the magnitude of the Electron Unit Charge Section 2.3 (Pg. 51) United StatesState of Illinois 1868 – 1953 Robert Andrews Millikan Millikan contrived an experiment whereby the free-fall of charged oil droplets within an atmospherically controlled chamber could be halted ( equalized to the force of G ) by the application of a voltage across two oppositely charged plates The Plum Pudding analogy was first proposed by Lord Baron Kelvin, William Thomson ( unrelated )  Applying this Electron Unit Charge magnitude to J.J. Thomson’s Charge-to-Mass Ratio allowed Millikan to posit a precise Mass for the Electron at 9.11 x 10 – 31 kg
  • 89. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Becquerel’s Discovery of Radiation  Becquerel’s results subsequently led to the tri-partite radiation emission classifications : Section 2.3 (Pg. 52) Republic of France Historical Province of Brittany 1852 – 1908 Antoine Henri Becquerel Becquerel serendipitously noted that a concealed Uranium mineral was able to impart an image to an unexposed photographic plate Region of Pays de la Loire Department of Loire-Atlantique  αParticle Carries a 2+ Charge ( opposite & twice the Electron )n 7300 times the Mass of the Electron !n  β Particle A high-speed Electronn  γ Ray A form of high-energy “ light ”n
  • 90. © Art Traynor 2011 Chemistry Atomic Theory Historical Development Rutherford’s Characterization of the Nucleus  A source utilizing Becquerel’s alpha particles Section 2.3 (Pg. 52) 1871 – 1937 Earnest Rutherford Rutherford devised an experiment to test Thomson’s Plum Pudding model of the Atom whereby :  αParticle Carries a 2+ Charge ( opposite & twice the Electron )n 7300 times the Mass of the Electron !n Realm of New Zealand Is trained on a gold foil target to probe the structure of the atom by dispersion of the source in collision/deflection with the target Occasional , significant deflection of the source – through large angles – led to the conclusion that the Atom must be composed of a concentrated , positive-charge massive “ nucleus ” Minimal deflection of the majority of the source moreover led to the added conjecture that the atom must be composed mostly of “ open space ”
  • 91. © Art Traynor 2011 Chemistry Atomic Structure Modern Understanding The Modern View of Atomic Structure  Nuclear Diameter : ~ 10 – 13 cm Section 2.5 (Pg. 53)  Atomic Diameter : ~ 10 – 8 cm The margin at which the electrons are observed to circulate the nucleus  Atomic Nucleus  Protons Positive Chargen Charge Equal in Magnitude to the Electron’s Negative Chargen  Neutrons No Charge ( Neutral )n Same ( essentially ) Mass as Protonn  Nuclear Size is minimal compared to Atomic Radii  Nuclear Density accounts for most all the Mass of the Atom The Electrons constitute the vast majority of the Atomic Volume
  • 92. © Art Traynor 2011 Chemistry Atomic Structure Atomic Particles Atomic Particles Section 2.5 (Pg. 53) Electron 9.11 x 10 – 31 kg 1– The Atomic Constituent Particles Proton 1.67 x 10 – 27 kg 1+ Neutron 1.67 x 10 – 27 kg 0 ( 1.60 x 10 – 19 C ) ( 1.60 x 10 – 19 C ) Particle Mass Charge
  • 93. © Art Traynor 2011 Chemistry Atomic Structure Atomic Variants Isotope Section 2.5 (Pg. 54) A Chemical Element variant in which the cardinality of its Neutron constituents differs from its Atomic Number ( e. g. its Proton content which crucially imparts its unique identity as a distinct Element).  All isotopes of an Element bear the same Atomic Number  All isotopes of an Element share the same number of Protons  All isotopes of an Element share the same number of Protons but a differing number of Neutrons From the Greek “ isos ” meaning “ equal ” and “ topos ” meaning “ place ” evoking the notion that Isotopes occupy the “ same place” in the Periodic Table hierarchy  A Nucleon is a constituent of the atomic nucleus of which there are two classes: Protons and Neutrons  An atom’s Mass Number reflects the cardinality of its Nucleon constituents Wiki: “ Isotope”
  • 94. © Art Traynor 2011 Chemistry Atomic Structure Atomic Variants Isotope Section 2.5 (Pg. 54) A Chemical Element variant in which the cardinality of its Neutron constituents differs from its Atomic Number  All isotopes of an Element bear the same Atomic Number From the Greek “ isos ” meaning “ equal ” and “ topos ” meaning “ place ” evoking the notion that Isotopes occupy the “ same place” in the Periodic Table hierarchy  An atom’s Mass Number ( integer value ) reflects the cardinality of its Nucleon constituents Al13 27 Al13 27 Mass Number Atomic Number →  The difference of the Mass Number and the Atomic Number yields the cardinality of the Neutron constituent of the Atom ( or Isotopic form of the Atom ) or the Neutron Number Wiki: “ Isotope”
  • 95. © Art Traynor 2011 Chemistry Atomic Combinations Molecules Molecules Section 2.5 (Pg. 55)  An Electrically Neutral composition of two or more Atoms adhered by a Chemical Bond Wiki: “ Molecule”  Distinguished from Ions by the absence of net Charge  By convention Polyatomic Ions are sometimes nevertheless referred to as Molecules Upper Level Equivalence Classifications  Homonuclear A molecule composed of two or more Atoms of the same Element ( e.g. a Diatomic Molecule )  Heteronuclear A molecule composed of two or more Atoms of the different Elements
  • 96. © Art Traynor 2011 Chemistry Molecular Representation Section 2.5 (Pg. 55) Wiki: “ Chemical Formula” Chemical Formula There are several conventional models and representations by which the Elemental constituents of a Molecule can be represented : Atomic Combinations Molecules Structural Formula Space-Filling Models Ball & Stick Models    
  • 97. © Art Traynor 2011 Chemistry Molecular Representation Section 2.5 (Pg. 55) Wiki: “ Chemical Formula” Chemical Formula There are several conventional models and representations by which the Elemental constituents of a Molecule can be represented : Atomic Combinations Molecules  A symbolic Molecular representation composed of the following:  Alpha characters indicating the constituent Elements of the Molecule ( 1 – 3 characters )  Numeric subscripts indicate the cardinality of individual Elements in the molecular composition ( after the fashion of a multiplicative factor ) Polyatomic Ionic constituents are further demarcated by parenthetical inclusion, with like subscription indicating multiplicity ( as with Elemental molecular constituents ) n  Ionic constituents may be further denoted by an explicit ( superscripted ) Charge designation ( + / – ) , where a multiplicity of unit charge is indicated by an integer coefficient ( if greater than unity )
  • 98. © Art Traynor 2011 Chemistry Molecular Representation Section 2.5 (Pg. 55) Wiki: “ Chemical Formula” Chemical Formula There are several conventional models and representations by which the Elemental constituents of a Molecule can be represented : Atomic Combinations Molecules Structural Formula   A Molecular representation composed of the symbolism of the Chemical Formula ( and multiplicity conventions ) supplemented by Bond and Spatial Orientation representations :  Dashed lines portray 3D receding molecular constituents whereas graduated wedges portray 3D orientation projecting from a 2D representational surface
  • 99. © Art Traynor 2011 Chemistry Molecules Bonding Chemical Bond Section 2.5 (Pg. 55)  An attraction between Atoms enabling the formation of Chemical Substances composed of two or more Atoms  The electrons and nuclei constituting the Substance formed  The Bond originates in an electrostatic force of attraction resulting from:  A Dipole moment among the Bonded Substance Wiki: “ Chemical Bond”  Strong Bonds  Bonds can also be characterized by their relative strength Covalent Bondingn Ionic Bondingn  Weak Bonds Dipole-Dipole Interactionsn London Dispersion Forcen Hydrogen Bondingn
  • 100. © Art Traynor 2011 Chemistry Molecules Bonding Chemical Bonds - Classified Section 2.5 (Pg. 55) Wiki: “ Covalent Bond”  Strong Bonds  Bonds can also be characterized by their relative strength Covalent Bondingn A Bond fashioned by the sharing of Electrons as between the constituent Elements of a Molecule o Only a distinct number of Electrons participate in the Bond and are thus designated the Shared Pairs or Bonding Pairs o Covalent Bonding can proceed to the extent that each Atom in the Molecular composition is considered to have thus attained a full outer shell corresponding to a stable ( energetically minimized ) Electronic configuration
  • 101. © Art Traynor 2011 Chemistry Chemical Bonds - Classified Section 2.5 (Pg. 55) Wiki: “ Covalent Bond”  Strong Bonds  Bonds can also be characterized by their relative strength Ionic Bonding ( Electrovalence )n A Bond fashioned by the electrostatic attraction as between oppositely charged Ions among the constituent Elements of a Molecule o An Ion with electron cardinality less than its Elemental Atomic Number – a Cation – will exhibit a positive charge, the magnitude of which is an integer multiple of product of the unit Charge and the difference between its Atomic Number and electron cardinality Atomic Combinations Molecules o An Ion with electron cardinality greater than its Elemental Atomic Number – a Anion – will exhibit a negative charge, the magnitude of which is an integer multiple of product of the unit Charge and the difference between its electron cardinality and Atomic Number
  • 102. © Art Traynor 2011 Chemistry Chemical Bonds - Classified Section 2.5 (Pg. 55) Wiki: “ Covalent Bond”  Strong Bonds  Bonds can also be characterized by their relative strength Ionic Bonding ( Electrovalence )n A Bond fashioned by the electrostatic attraction as between oppositely charged Ions among the constituent Elements of a Molecule Typical interaction/product species include: o A metal and non-metal wherein a net transfer of electrons proceeds to such extent that both atoms achieve a state wherein their valence shells can be considered to be simultaneously filled Atomic Combinations Molecules o Reactants wherein a relatively large difference in Electronegativity exists between constituent species o Salts
  • 103. © Art Traynor 2011 Chemistry Chemical Bonds - Classified Section 2.5 (Pg. 55) Wiki: “ Covalent Bond”  Strong Bonds  Bonds can also be characterized by their relative strength Ionic Bonding ( Electrovalence )n A Bond fashioned by the electrostatic attraction as between oppositely charged Ions among the constituent Elements of a Molecule Typical interaction species can be characterized by: o Electrical conductivity ( in solution or molten state ) Atomic Combinations Molecules o Aqueous solubility
  • 104. © Art Traynor 2011 Chemistry Structure of Matter Wiki: “ Chemical Element” Periodicity Definition of Element Elements are those fundamental constituents of matter uniquely characterized by an atomic number, the chemical properties of which obey a periodic verisimilitude ordering distinctive phenomenological classes among its representatives.  Properties of Elements  Periodicity: Chemical properties of the Elements were observed to recur with regular recurrence, the patterns of which are encoded in the Periodic Table Upper Level Equivalence Classifications  Metals  Non-Metals
  • 105. © Art Traynor 2011 Chemistry Structure of Matter Wiki: “ Chemical Element” Periodicity Properties of Metals  Ready Conductors of Heat & Electricity Malleable ( can be formed into thin sheets )  Ductile ( can be formed into wires ) Lustrous appearance  Electron Donors forming Positive Ions ( typically ) Properties of Non-Metals  Tend to form Diatomic ( Homonucelar ) Molecules Reactions with metals tend to produce Ionic Salts Electron Receptors forming Negative Ions ( typically )
  • 106. © Art Traynor 2011 Chemistry Structure of Matter Periodicity Families of Elements ( Groups ) The Elements may be further classified according to representative “ families ” exhibiting similar chemical properties. These class-similar elements are arrayed within the Periodic Table vertically into Groups Second Level Equivalence Classifications  Alkali Metals ( Group 1 ) Section 2.7 (Pg. 60) Hydrogen, Lithium, Sodium, Potassium, Cesium, Francium Tend to form 1+ Ions when reacted with non-metalsn ① H1 Na11 Li3 K19 Rb37 Cs55 Fr87
  • 107. © Art Traynor 2011 Chemistry Structure of Matter Periodicity Families of Elements ( Groups ) The Elements may be further classified according to representative “ families ” exhibiting similar chemical properties. These class-similar elements are arrayed within the Periodic Table vertically into Groups Second Level Equivalence Classifications  Alkaline Earth Metals ( Group 2 ) Section 2.7 (Pg. 60) Beryllium, Magnesium, Calcium, Strontium, Barium, Radium Tend to form 2+ Ions when reacted with non-metalsn Mg12 Be4 Ca20 Sr38 Ba56 Ra88 ②
  • 108. © Art Traynor 2011 Chemistry Structure of Matter Periodicity Families of Elements ( Groups ) The Elements may be further classified according to representative “ families ” exhibiting similar chemical properties. These class-similar elements are arrayed within the Periodic Table vertically into Groups Section 2.7 (Pg. 60) Second Level Equivalence Classifications  Halogens ( Group 17 ) Fluorine, Chlorine, Bromine, Iodine, Astatine, Ununseptium Tend to form 1 – Ionic Salts when reacted with metalsn 17 F9 Uus117 I53 Br35 At85 Cl17
  • 109. © Art Traynor 2011 Chemistry Structure of Matter Periodicity Families of Elements ( Groups ) The Elements may be further classified according to representative “ families ” exhibiting similar chemical properties. These class-similar elements are arrayed within the Periodic Table vertically into Groups Section 2.7 (Pg. 60) Second Level Equivalence Classifications  Nobel Gases ( Group 18 ) Helium, Neon, Argon, Krypton, Xenon, Radon, Ununoctium Tend to manifest as gases with little propensity for Chemical Reactionn 18 Uuo118 Ar18 Ne10 Kr36 Xe54 Rn86 He2