SlideShare uma empresa Scribd logo
1 de 20
Is this a question of:
Difference? Relationship? Goodness of Fit?
Difference –
How do two or more groups (younger/older drivers) compare with
one another in terms of some outcome (average driving speed)?
Central Tendency, Spread, or Symmetry?
vs.
Difference –
How do two or more groups (younger/older drivers) compare with
one another in terms of some outcome (average driving speed)?
Central Tendency, Spread, or Symmetry?
Relationship –
Does an increase in one characteristic (age) cause a change in
another characteristic (flexibility)?
vs.
Difference –
How do two or more groups (younger/older drivers) compare with
one another in terms of some outcome (average driving speed)?
Central Tendency, Spread, or Symmetry?
Relationship –
Does an increase in one characteristic (age) cause a change in
another characteristic (flexibility)?
Goodness of Fit –
Does your claim (4 out of 5 dentist recommend flavored floss) fit
reality (3 out of 5 of your dentist friends recommend flavored floss)?
vs.
fitDoes the CLAIM . . . REALITY?
Let’s Practice!
Difference Relationship Goodness of Fit
Does employee morale increase significantly the
longer they work at this company? You sample a
group of 45 and generalize the results.
Difference Relationship Goodness of Fit
Does employee morale increase significantly the
longer they work at this company? You sample a
group of 45 and generalize the results.
Difference Relationship Goodness of Fit
Does employee morale increase significantly
the longer they work at this company? You
sample a group of 45 and generalize the results.
Difference Relationship Goodness of Fit
Does employee morale increase significantly
the longer they work at this company? You
sample a group of 45 and generalize the results.
Relationship –
Does an increase in one characteristic (time worked) cause a
change in another characteristic (employee morale)?
Next Example
How do management and staff compare in
terms of work satisfaction? You sample both
groups and generalize the results.
Difference Relationship Goodness of Fit
How do management and staff compare in
terms of work satisfaction? You sample both
groups and generalize the results.
Difference Relationship Goodness of Fit
How do management and staff compare in
terms of work satisfaction? You sample both
groups and generalize the results.
Difference Relationship Goodness of Fit
Difference –
How do two or more groups (management/staff) compare
with one another in terms of some outcome (work
satisfaction)?
How do management and staff compare in
terms of work satisfaction? You sample both
groups and generalize the results.
Difference Relationship Goodness of Fit
Difference –
How do two or more groups (management/staff) compare
with one another in terms of some outcome (work
satisfaction)?
Final Example
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of 26
employees and find that 86% increase their
productivity.
Difference Relationship Goodness of Fit
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of 26
employees and find that 86% increase their
productivity.
Difference Relationship Goodness of Fit
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of 26
employees and find that 86% increase their
productivity.
Difference Relationship Goodness of Fit
Goodness of Fit –
Does your claim (95% increase work productivity) fit reality
(86% increase work productivity)?
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of
26 employees and find that 86% increase their
productivity.
Difference Relationship Goodness of Fit
Goodness of Fit –
Does your claim (95% increase work productivity) fit reality
(86% increase work productivity)?
Is your question a question of:
Difference? Relationship? Goodness of Fit?

Mais conteúdo relacionado

Mais procurados

Reporting Phi Coefficient test in APA
Reporting Phi Coefficient test in APAReporting Phi Coefficient test in APA
Reporting Phi Coefficient test in APAKen Plummer
 
What is a paired samples t test
What is a paired samples t testWhat is a paired samples t test
What is a paired samples t testKen Plummer
 
Multiple linear regression
Multiple linear regressionMultiple linear regression
Multiple linear regressionKen Plummer
 
Data Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVAData Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVADr Ali Yusob Md Zain
 
STATISTICS: Hypothesis Testing
STATISTICS: Hypothesis TestingSTATISTICS: Hypothesis Testing
STATISTICS: Hypothesis Testingjundumaug1
 
F test and ANOVA
F test and ANOVAF test and ANOVA
F test and ANOVAParag Shah
 
9. basic concepts_of_one_way_analysis_of_variance_(anova)
9. basic concepts_of_one_way_analysis_of_variance_(anova)9. basic concepts_of_one_way_analysis_of_variance_(anova)
9. basic concepts_of_one_way_analysis_of_variance_(anova)Irfan Hussain
 
What is a two sample z test?
What is a two sample z test?What is a two sample z test?
What is a two sample z test?Ken Plummer
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMRavindra Nath Shukla
 
Business Analytics _ Confidence Interval
Business Analytics _ Confidence IntervalBusiness Analytics _ Confidence Interval
Business Analytics _ Confidence IntervalRavindra Nath Shukla
 
What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?Ken Plummer
 
Reporting a Factorial ANOVA
Reporting a Factorial ANOVAReporting a Factorial ANOVA
Reporting a Factorial ANOVAKen Plummer
 
1608 probability and statistics in engineering
1608 probability and statistics in engineering1608 probability and statistics in engineering
1608 probability and statistics in engineeringDr Fereidoun Dejahang
 
Sampling and statistical inference
Sampling and statistical inferenceSampling and statistical inference
Sampling and statistical inferenceBhavik A Shah
 

Mais procurados (20)

Data Analysis Using Spss T Test
Data Analysis Using Spss   T TestData Analysis Using Spss   T Test
Data Analysis Using Spss T Test
 
Variability
VariabilityVariability
Variability
 
Reporting Phi Coefficient test in APA
Reporting Phi Coefficient test in APAReporting Phi Coefficient test in APA
Reporting Phi Coefficient test in APA
 
Statistical Distributions
Statistical DistributionsStatistical Distributions
Statistical Distributions
 
What is a paired samples t test
What is a paired samples t testWhat is a paired samples t test
What is a paired samples t test
 
Multiple linear regression
Multiple linear regressionMultiple linear regression
Multiple linear regression
 
Multivariate
MultivariateMultivariate
Multivariate
 
Data Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVAData Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVA
 
Chi square
Chi squareChi square
Chi square
 
STATISTICS: Hypothesis Testing
STATISTICS: Hypothesis TestingSTATISTICS: Hypothesis Testing
STATISTICS: Hypothesis Testing
 
F test and ANOVA
F test and ANOVAF test and ANOVA
F test and ANOVA
 
9. basic concepts_of_one_way_analysis_of_variance_(anova)
9. basic concepts_of_one_way_analysis_of_variance_(anova)9. basic concepts_of_one_way_analysis_of_variance_(anova)
9. basic concepts_of_one_way_analysis_of_variance_(anova)
 
What is a two sample z test?
What is a two sample z test?What is a two sample z test?
What is a two sample z test?
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSM
 
Probability and statistics
Probability and statisticsProbability and statistics
Probability and statistics
 
Business Analytics _ Confidence Interval
Business Analytics _ Confidence IntervalBusiness Analytics _ Confidence Interval
Business Analytics _ Confidence Interval
 
What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?
 
Reporting a Factorial ANOVA
Reporting a Factorial ANOVAReporting a Factorial ANOVA
Reporting a Factorial ANOVA
 
1608 probability and statistics in engineering
1608 probability and statistics in engineering1608 probability and statistics in engineering
1608 probability and statistics in engineering
 
Sampling and statistical inference
Sampling and statistical inferenceSampling and statistical inference
Sampling and statistical inference
 

Semelhante a Diff rel gof-fit - jejit - practice (5)

Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)Ken Plummer
 
Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)Ken Plummer
 
Diff rel gof-fit - jejit - practice
Diff rel gof-fit - jejit - practiceDiff rel gof-fit - jejit - practice
Diff rel gof-fit - jejit - practiceKen Plummer
 
Best practices for employee engagement
Best practices for employee engagementBest practices for employee engagement
Best practices for employee engagementMutual Force
 
Productivity (Comprehensive) PowerPoint Presentation 130 slides with 6 diag...
Productivity  (Comprehensive) PowerPoint Presentation  130 slides with 6 diag...Productivity  (Comprehensive) PowerPoint Presentation  130 slides with 6 diag...
Productivity (Comprehensive) PowerPoint Presentation 130 slides with 6 diag...Andrew Schwartz
 
Value proposition for wix
Value proposition for wixValue proposition for wix
Value proposition for wixPhillip Ash
 
Ultimate guide to workplace surveys
Ultimate guide to workplace surveysUltimate guide to workplace surveys
Ultimate guide to workplace surveysXoxoday
 
Independent variable je jit - practice
Independent variable   je jit - practiceIndependent variable   je jit - practice
Independent variable je jit - practiceKen Plummer
 
Engagement as a business strategy driving meaningful and lasting change
Engagement as a business strategy   driving meaningful and lasting changeEngagement as a business strategy   driving meaningful and lasting change
Engagement as a business strategy driving meaningful and lasting changeDani
 
A Solution to the Leadership Development Challenge
A Solution to the Leadership Development ChallengeA Solution to the Leadership Development Challenge
A Solution to the Leadership Development ChallengePhillip Ash
 
Tim Wade - 8 Pillars of Profitable Productivity
Tim Wade - 8 Pillars of Profitable ProductivityTim Wade - 8 Pillars of Profitable Productivity
Tim Wade - 8 Pillars of Profitable ProductivityTim Wade
 
Performance, Rewards and the New Psychological Contract
Performance, Rewards and the New Psychological ContractPerformance, Rewards and the New Psychological Contract
Performance, Rewards and the New Psychological ContractExpoco
 
Running head PROBLEMS IN THE WORKPLACE .docx
Running head PROBLEMS IN THE WORKPLACE                           .docxRunning head PROBLEMS IN THE WORKPLACE                           .docx
Running head PROBLEMS IN THE WORKPLACE .docxtoltonkendal
 
Assessing Readiness for Change Please respond to the following.docx
Assessing Readiness for Change Please respond to the following.docxAssessing Readiness for Change Please respond to the following.docx
Assessing Readiness for Change Please respond to the following.docxwildmandelorse
 

Semelhante a Diff rel gof-fit - jejit - practice (5) (20)

Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)
 
Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)Diff rel gof-fit - jejit - practice (2)
Diff rel gof-fit - jejit - practice (2)
 
Diff rel gof-fit - jejit - practice
Diff rel gof-fit - jejit - practiceDiff rel gof-fit - jejit - practice
Diff rel gof-fit - jejit - practice
 
Best practices for employee engagement
Best practices for employee engagementBest practices for employee engagement
Best practices for employee engagement
 
Productivity (Comprehensive) PowerPoint Presentation 130 slides with 6 diag...
Productivity  (Comprehensive) PowerPoint Presentation  130 slides with 6 diag...Productivity  (Comprehensive) PowerPoint Presentation  130 slides with 6 diag...
Productivity (Comprehensive) PowerPoint Presentation 130 slides with 6 diag...
 
Value proposition for wix
Value proposition for wixValue proposition for wix
Value proposition for wix
 
AHBM Motivation
AHBM MotivationAHBM Motivation
AHBM Motivation
 
Great Places To Work Presentation: RLS 2014
Great Places To Work Presentation: RLS 2014Great Places To Work Presentation: RLS 2014
Great Places To Work Presentation: RLS 2014
 
Team Scorecard Overview
Team Scorecard OverviewTeam Scorecard Overview
Team Scorecard Overview
 
Ultimate guide to workplace surveys
Ultimate guide to workplace surveysUltimate guide to workplace surveys
Ultimate guide to workplace surveys
 
Independent variable je jit - practice
Independent variable   je jit - practiceIndependent variable   je jit - practice
Independent variable je jit - practice
 
Attitudes @ Work
Attitudes @ WorkAttitudes @ Work
Attitudes @ Work
 
MY WRR Teamwork PPT
MY WRR Teamwork PPTMY WRR Teamwork PPT
MY WRR Teamwork PPT
 
Engagement as a business strategy driving meaningful and lasting change
Engagement as a business strategy   driving meaningful and lasting changeEngagement as a business strategy   driving meaningful and lasting change
Engagement as a business strategy driving meaningful and lasting change
 
Leading
LeadingLeading
Leading
 
A Solution to the Leadership Development Challenge
A Solution to the Leadership Development ChallengeA Solution to the Leadership Development Challenge
A Solution to the Leadership Development Challenge
 
Tim Wade - 8 Pillars of Profitable Productivity
Tim Wade - 8 Pillars of Profitable ProductivityTim Wade - 8 Pillars of Profitable Productivity
Tim Wade - 8 Pillars of Profitable Productivity
 
Performance, Rewards and the New Psychological Contract
Performance, Rewards and the New Psychological ContractPerformance, Rewards and the New Psychological Contract
Performance, Rewards and the New Psychological Contract
 
Running head PROBLEMS IN THE WORKPLACE .docx
Running head PROBLEMS IN THE WORKPLACE                           .docxRunning head PROBLEMS IN THE WORKPLACE                           .docx
Running head PROBLEMS IN THE WORKPLACE .docx
 
Assessing Readiness for Change Please respond to the following.docx
Assessing Readiness for Change Please respond to the following.docxAssessing Readiness for Change Please respond to the following.docx
Assessing Readiness for Change Please respond to the following.docx
 

Mais de Ken Plummer

Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updatedKen Plummer
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedKen Plummer
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedKen Plummer
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedKen Plummer
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedKen Plummer
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedKen Plummer
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedKen Plummer
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedKen Plummer
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedKen Plummer
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaledKen Plummer
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)Ken Plummer
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30Ken Plummer
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominalKen Plummer
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariatesKen Plummer
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of dataKen Plummer
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)Ken Plummer
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the ivKen Plummer
 
Independent variables (2)
Independent variables (2)Independent variables (2)
Independent variables (2)Ken Plummer
 
Dependent variable je jit - practice
Dependent variable   je jit - practiceDependent variable   je jit - practice
Dependent variable je jit - practiceKen Plummer
 

Mais de Ken Plummer (20)

Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updated
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright Updated
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright Updated
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updated
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updated
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updated
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updated
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updated
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updated
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaled
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30
 
Ordinal (ties)
Ordinal (ties)Ordinal (ties)
Ordinal (ties)
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominal
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariates
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of data
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the iv
 
Independent variables (2)
Independent variables (2)Independent variables (2)
Independent variables (2)
 
Dependent variable je jit - practice
Dependent variable   je jit - practiceDependent variable   je jit - practice
Dependent variable je jit - practice
 

Último

HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxCeline George
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptxJoelynRubio1
 
Philosophy of china and it's charactistics
Philosophy of china and it's charactisticsPhilosophy of china and it's charactistics
Philosophy of china and it's charactisticshameyhk98
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxmarlenawright1
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...ZurliaSoop
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsKarakKing
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxJisc
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17Celine George
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the ClassroomPooky Knightsmith
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxDr. Sarita Anand
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxJisc
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 

Último (20)

HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx
 
Philosophy of china and it's charactistics
Philosophy of china and it's charactisticsPhilosophy of china and it's charactistics
Philosophy of china and it's charactistics
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 

Diff rel gof-fit - jejit - practice (5)

  • 1. Is this a question of: Difference? Relationship? Goodness of Fit?
  • 2. Difference – How do two or more groups (younger/older drivers) compare with one another in terms of some outcome (average driving speed)? Central Tendency, Spread, or Symmetry? vs.
  • 3. Difference – How do two or more groups (younger/older drivers) compare with one another in terms of some outcome (average driving speed)? Central Tendency, Spread, or Symmetry? Relationship – Does an increase in one characteristic (age) cause a change in another characteristic (flexibility)? vs.
  • 4. Difference – How do two or more groups (younger/older drivers) compare with one another in terms of some outcome (average driving speed)? Central Tendency, Spread, or Symmetry? Relationship – Does an increase in one characteristic (age) cause a change in another characteristic (flexibility)? Goodness of Fit – Does your claim (4 out of 5 dentist recommend flavored floss) fit reality (3 out of 5 of your dentist friends recommend flavored floss)? vs. fitDoes the CLAIM . . . REALITY?
  • 6. Difference Relationship Goodness of Fit Does employee morale increase significantly the longer they work at this company? You sample a group of 45 and generalize the results.
  • 7. Difference Relationship Goodness of Fit Does employee morale increase significantly the longer they work at this company? You sample a group of 45 and generalize the results.
  • 8. Difference Relationship Goodness of Fit Does employee morale increase significantly the longer they work at this company? You sample a group of 45 and generalize the results.
  • 9. Difference Relationship Goodness of Fit Does employee morale increase significantly the longer they work at this company? You sample a group of 45 and generalize the results. Relationship – Does an increase in one characteristic (time worked) cause a change in another characteristic (employee morale)?
  • 11. How do management and staff compare in terms of work satisfaction? You sample both groups and generalize the results. Difference Relationship Goodness of Fit
  • 12. How do management and staff compare in terms of work satisfaction? You sample both groups and generalize the results. Difference Relationship Goodness of Fit
  • 13. How do management and staff compare in terms of work satisfaction? You sample both groups and generalize the results. Difference Relationship Goodness of Fit Difference – How do two or more groups (management/staff) compare with one another in terms of some outcome (work satisfaction)?
  • 14. How do management and staff compare in terms of work satisfaction? You sample both groups and generalize the results. Difference Relationship Goodness of Fit Difference – How do two or more groups (management/staff) compare with one another in terms of some outcome (work satisfaction)?
  • 16. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference Relationship Goodness of Fit
  • 17. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference Relationship Goodness of Fit
  • 18. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference Relationship Goodness of Fit Goodness of Fit – Does your claim (95% increase work productivity) fit reality (86% increase work productivity)?
  • 19. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference Relationship Goodness of Fit Goodness of Fit – Does your claim (95% increase work productivity) fit reality (86% increase work productivity)?
  • 20. Is your question a question of: Difference? Relationship? Goodness of Fit?