SlideShare uma empresa Scribd logo
1 de 14
Statistics  for Management Lesson 6 Hypothesis testing:  The comparison of  two populations
Lesson Topics ,[object Object],[object Object],[object Object],[object Object]
Comparing two independent samples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Independent Samples
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Z Test for Differences in Two Means (Variances Known)
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],t Test for Differences in Two Means (Variances Unknown)
Developing the  Pooled-Variance t Test  (Part 1) ,[object Object],H 0 :   1       2   H 1 :   1   >   2   H 0 :   1   -  2   = 0  H 1 :   1   -   2    0 H 0 :   1   =   2   H 1 :   1       2   H 0 :   1     2  H 0 :   1   -   2      0  H 1 :   1   -   2   >  0 H 0 :   1   -   2      H 1 :   1   -   2  <  0 OR OR OR Left Tail Right Tail Two Tail  H 1 :   1   <   2
Developing the  Pooled-Variance t Test  (Part 2) ,[object Object],= Pooled-Variance = Variance of Sample 1 = Variance of sample 2 = Size of Sample 1 = Size of Sample 2
t X X S n S n S n n df n n P                 1 2 1 2 2 1 1 2 2 2 2 1 2 1 2 1 1 1 1 2   Hypothesized Difference Developing the  Pooled-Variance t Test  (Part 3) ,[object Object],( ) ) ( ( ) ( ) ( ) ( ) n 1 n 2 _ _
[object Object],[object Object],[object Object],[object Object],[object Object],© 1984-1994 T/Maker Co. Pooled-Variance t Test: Example
t X X S n n S n S n S n n P P                            1 2 1 2 2 1 2 2 1 1 2 2 2 2 1 2 2 2 3 27 2 53 0 1 510 21 25 2 03 1 1 1 1 21 1 1 30 25 1 1 16 21 1 25 1 1 510   . . . . . . . Calculating the Test Statistic: ( ( ( ( ( ( ( ( ( ( ( ) ) ) ) ) ) ) ) ) ) )
[object Object],[object Object],[object Object],[object Object],[object Object],Test Statistic:  Decision: Conclusion: Reject at    = 0.05 There is evidence of a difference in means. t 0 2.0154 -2.0154 .025 Reject H 0 Reject H 0 .025 t    3 27 2 53 1 510 21 25 2 03 . . . . Solution
Z Test for Differences in Two Proportions ,[object Object]
Lesson 5 + 6 Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

T test statistic
T test statisticT test statistic
T test statistic
 
Hypothesis testing chi square goodness of fit test
Hypothesis testing chi square goodness of fit testHypothesis testing chi square goodness of fit test
Hypothesis testing chi square goodness of fit test
 
Contingency Tables
Contingency TablesContingency Tables
Contingency Tables
 
Chi square Test
Chi square TestChi square Test
Chi square Test
 
Two Means, Independent Samples
Two Means, Independent SamplesTwo Means, Independent Samples
Two Means, Independent Samples
 
f and t test
f and t testf and t test
f and t test
 
Test for independence
Test for independence Test for independence
Test for independence
 
Analysis of Variance-ANOVA
Analysis of Variance-ANOVAAnalysis of Variance-ANOVA
Analysis of Variance-ANOVA
 
Chi square test
Chi square test Chi square test
Chi square test
 
One-Way ANOVA
One-Way ANOVAOne-Way ANOVA
One-Way ANOVA
 
Statr session 19 and 20
Statr session 19 and 20Statr session 19 and 20
Statr session 19 and 20
 
Wilcoxon Rank-Sum Test
Wilcoxon Rank-Sum TestWilcoxon Rank-Sum Test
Wilcoxon Rank-Sum Test
 
F-Distribution
F-DistributionF-Distribution
F-Distribution
 
Basics of Hypothesis Testing
Basics of Hypothesis TestingBasics of Hypothesis Testing
Basics of Hypothesis Testing
 
Practice Test 1
Practice Test 1Practice Test 1
Practice Test 1
 
Chi square
Chi square Chi square
Chi square
 
The two sample t-test
The two sample t-testThe two sample t-test
The two sample t-test
 
Hypothesis tests for one and two population variances ppt @ bec doms
Hypothesis tests for one and two population variances ppt @ bec domsHypothesis tests for one and two population variances ppt @ bec doms
Hypothesis tests for one and two population variances ppt @ bec doms
 
Goodness of Fit Notation
Goodness of Fit NotationGoodness of Fit Notation
Goodness of Fit Notation
 
Chapter12
Chapter12Chapter12
Chapter12
 

Semelhante a Lesson06_new

Two Sample Tests
Two Sample TestsTwo Sample Tests
Two Sample Tests
sanketd1983
 
Test of hypothesis (t)
Test of hypothesis (t)Test of hypothesis (t)
Test of hypothesis (t)
Marlon Gomez
 
Experimental design data analysis
Experimental design data analysisExperimental design data analysis
Experimental design data analysis
metalkid132
 
T Test For Two Independent Samples
T Test For Two Independent SamplesT Test For Two Independent Samples
T Test For Two Independent Samples
shoffma5
 

Semelhante a Lesson06_new (20)

Hypothesis Test _Two-sample t-test, Z-test, Proportion Z-test
Hypothesis Test _Two-sample t-test, Z-test, Proportion Z-testHypothesis Test _Two-sample t-test, Z-test, Proportion Z-test
Hypothesis Test _Two-sample t-test, Z-test, Proportion Z-test
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research data
 
Two Sample Tests
Two Sample TestsTwo Sample Tests
Two Sample Tests
 
Stat2013
Stat2013Stat2013
Stat2013
 
Hypothesis testing - II.pptx
Hypothesis testing - II.pptxHypothesis testing - II.pptx
Hypothesis testing - II.pptx
 
Two dependent samples (matched pairs)
Two dependent samples (matched pairs) Two dependent samples (matched pairs)
Two dependent samples (matched pairs)
 
Test of hypothesis (t)
Test of hypothesis (t)Test of hypothesis (t)
Test of hypothesis (t)
 
Chap10 hypothesis testing ; additional topics
Chap10 hypothesis testing ; additional topicsChap10 hypothesis testing ; additional topics
Chap10 hypothesis testing ; additional topics
 
Experimental design data analysis
Experimental design data analysisExperimental design data analysis
Experimental design data analysis
 
Anova by Hazilah Mohd Amin
Anova by Hazilah Mohd AminAnova by Hazilah Mohd Amin
Anova by Hazilah Mohd Amin
 
T Test Presentation.pptx
T Test Presentation.pptxT Test Presentation.pptx
T Test Presentation.pptx
 
The T-test
The T-testThe T-test
The T-test
 
Two variances or standard deviations
Two variances or standard deviations  Two variances or standard deviations
Two variances or standard deviations
 
Chapter11
Chapter11Chapter11
Chapter11
 
Dr.Dinesh-BIOSTAT-Tests-of-significance-1-min.pdf
Dr.Dinesh-BIOSTAT-Tests-of-significance-1-min.pdfDr.Dinesh-BIOSTAT-Tests-of-significance-1-min.pdf
Dr.Dinesh-BIOSTAT-Tests-of-significance-1-min.pdf
 
Independent samples t-test
Independent samples t-testIndependent samples t-test
Independent samples t-test
 
T Test For Two Independent Samples
T Test For Two Independent SamplesT Test For Two Independent Samples
T Test For Two Independent Samples
 
Two-sample Hypothesis Tests
Two-sample Hypothesis Tests Two-sample Hypothesis Tests
Two-sample Hypothesis Tests
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research data
 
Marketing Research Hypothesis Testing.pptx
Marketing Research Hypothesis Testing.pptxMarketing Research Hypothesis Testing.pptx
Marketing Research Hypothesis Testing.pptx
 

Mais de shengvn

Topic 8 Managing Risk
Topic 8 Managing RiskTopic 8 Managing Risk
Topic 8 Managing Risk
shengvn
 
Topic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And Leasing Topic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And Leasing
shengvn
 
Lesson03_new
Lesson03_newLesson03_new
Lesson03_new
shengvn
 
Lesson08_new
Lesson08_newLesson08_new
Lesson08_new
shengvn
 
Lesson01_new
Lesson01_newLesson01_new
Lesson01_new
shengvn
 
Lesson04_new
Lesson04_newLesson04_new
Lesson04_new
shengvn
 
Lesson05_new
Lesson05_newLesson05_new
Lesson05_new
shengvn
 
Lesson02_new
Lesson02_newLesson02_new
Lesson02_new
shengvn
 
Lesson07_new
Lesson07_newLesson07_new
Lesson07_new
shengvn
 
Topic 5 Dividend Policy
Topic 5 Dividend PolicyTopic 5 Dividend Policy
Topic 5 Dividend Policy
shengvn
 
Topic 4 Financial Levarage And Capital Structure
Topic 4 Financial Levarage And Capital StructureTopic 4 Financial Levarage And Capital Structure
Topic 4 Financial Levarage And Capital Structure
shengvn
 
Topic 2 Cf And Making Investment Decisions
Topic 2 Cf And Making Investment DecisionsTopic 2 Cf And Making Investment Decisions
Topic 2 Cf And Making Investment Decisions
shengvn
 
Topic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And LeasingTopic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And Leasing
shengvn
 
Topic 8 Managing Risk
Topic 8 Managing RiskTopic 8 Managing Risk
Topic 8 Managing Risk
shengvn
 
Topic 3 Risk Return And Sml
Topic 3 Risk Return And SmlTopic 3 Risk Return And Sml
Topic 3 Risk Return And Sml
shengvn
 
Topic 6 Curren Asset Management
Topic 6 Curren Asset ManagementTopic 6 Curren Asset Management
Topic 6 Curren Asset Management
shengvn
 

Mais de shengvn (20)

Presentation skills duy
Presentation skills duyPresentation skills duy
Presentation skills duy
 
Positive thinking
Positive thinkingPositive thinking
Positive thinking
 
Basic communication skills duy students
Basic communication skills duy studentsBasic communication skills duy students
Basic communication skills duy students
 
Softskills for success
Softskills for successSoftskills for success
Softskills for success
 
Topic 8 Managing Risk
Topic 8 Managing RiskTopic 8 Managing Risk
Topic 8 Managing Risk
 
Topic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And Leasing Topic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And Leasing
 
Lesson03_new
Lesson03_newLesson03_new
Lesson03_new
 
Lesson08_new
Lesson08_newLesson08_new
Lesson08_new
 
Lesson01_new
Lesson01_newLesson01_new
Lesson01_new
 
Lesson04_new
Lesson04_newLesson04_new
Lesson04_new
 
Lesson05_new
Lesson05_newLesson05_new
Lesson05_new
 
Lesson02_new
Lesson02_newLesson02_new
Lesson02_new
 
Lesson07_new
Lesson07_newLesson07_new
Lesson07_new
 
Topic 5 Dividend Policy
Topic 5 Dividend PolicyTopic 5 Dividend Policy
Topic 5 Dividend Policy
 
Topic 4 Financial Levarage And Capital Structure
Topic 4 Financial Levarage And Capital StructureTopic 4 Financial Levarage And Capital Structure
Topic 4 Financial Levarage And Capital Structure
 
Topic 2 Cf And Making Investment Decisions
Topic 2 Cf And Making Investment DecisionsTopic 2 Cf And Making Investment Decisions
Topic 2 Cf And Making Investment Decisions
 
Topic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And LeasingTopic 7 Business Borrowing And Leasing
Topic 7 Business Borrowing And Leasing
 
Topic 8 Managing Risk
Topic 8 Managing RiskTopic 8 Managing Risk
Topic 8 Managing Risk
 
Topic 3 Risk Return And Sml
Topic 3 Risk Return And SmlTopic 3 Risk Return And Sml
Topic 3 Risk Return And Sml
 
Topic 6 Curren Asset Management
Topic 6 Curren Asset ManagementTopic 6 Curren Asset Management
Topic 6 Curren Asset Management
 

Último

BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
SoniaTolstoy
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 

Último (20)

Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 

Lesson06_new

  • 1. Statistics for Management Lesson 6 Hypothesis testing: The comparison of two populations
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. t X X S n n S n S n S n n P P                            1 2 1 2 2 1 2 2 1 1 2 2 2 2 1 2 2 2 3 27 2 53 0 1 510 21 25 2 03 1 1 1 1 21 1 1 30 25 1 1 16 21 1 25 1 1 510   . . . . . . . Calculating the Test Statistic: ( ( ( ( ( ( ( ( ( ( ( ) ) ) ) ) ) ) ) ) ) )
  • 12.
  • 13.
  • 14.

Notas do Editor

  1. Bài tiếp theo của bài 5