Statistics series 1

1. The way in which the data can be recorded
Q. Is Nistelrooy > Robben?????
Q. Is Nistelrooy < Robben?????
Q. Is Nistelrooy = Robben?????
No
Q. Is Nistelrooy + XYZ = Robben?????
No
Q. Is Nistelrooy x 11/9 = Robben?????
No
The Netherlands football team during world cup
Nominal Data:
Numerical values just "name" the attribute uniquely
variables that have two or more categories but which do not have
an intrinsic order

2. CAR CODE
1
2
3
4
5
6
7
8
9
10
11
12 Nominal Data:
13 Numerical values just "name" the attribute uniquely
14
variables that have two or more categories but which do not have
15 an intrinsic order

3. The way in which the data can be recorded
Dichotomous data Example: Mobile Phone or Land Line Ur phone
sir!!
I have my
own
Mobile
Me too
Mobile
Mobile

4. Dichotomous data Example: Gender

5. The way in which the data can be recorded
Ordered Data: A+
B
A
Excellent - Poor = ????
A*D = ????
But A is greater than B for sure
A>B
Excellent > good F
Poor < good
Have the order. But,
Difference is not defined

6. Ordered Data:
General
General > Colonel Right
Lieutenant
General But,
Major General General – Colonel = ?????
Brigadier
Colonel
Lieutenant
Colonel
Major
Captain
Lieutenant

7. The way in which the data can be recorded
Continuous data
100 0C - 0 0C = 100 0C
100 0C - 1 0C = 99 0C
100 0C > 90 0C Interval data
Operations valid :
But, <, >,+. -
100 0C * 4 ≠ 4000C
100 K- 0 K= 100 K
100 K – 1 K = 99 K
100 K > 90 K Ratio data
Operations valid :
And, <, >,+. -, *, /
100 K * 4 = 400 K

8. Measurement Scales/ Level of Measurement
>,<,+,-,/,*
>,<,+,- e.g. temperature, as
measured in K
>,< No absolute zero
e.g. temperature, as measured in o F or o C
Distances have no meaning
e.g. Socioeconomic status
cannot quantify or even rank order e.g. gender, race, color, city, etc.