SlideShare une entreprise Scribd logo
1  sur  18
RAMESH DEBUR Hypothesis testing
The Way Back ,[object Object],[object Object],[object Object],[object Object]
The Way Forward ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hypothesis Testing ,[object Object]
Definition ,[object Object],[object Object],[object Object],[object Object],[object Object]
Therefore….. ,[object Object],[object Object],[object Object],[object Object]
The Logic of Hypothesis Testing  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The NULL Hypothesis ,[object Object],[object Object],[object Object],[object Object]
The Alternate Hypothesis ,[object Object],[object Object],[object Object],[object Object],[object Object]
Disproving Null Vs Proving the Alternate Null Alternate
THE NEXT QUESTION ,[object Object],[object Object],[object Object]
Probability (prob·a·bil·i·ty) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Flip a coin ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Probability as related to hypothesis testing ,[object Object],[object Object],[object Object],[object Object]
Significance - Definition ,[object Object]
IN REAL  TERMS ,[object Object],[object Object],[object Object],[object Object],[object Object]
Errors of Hypothesis testing α is also called as the significance value and is determined by the investigator Stastical Decision True state of the Null Hypothesis True H O False H O Reject H O   Type 1 (  α ) Correct Do Not Reject H O Correct Type II ( β )
[object Object],[object Object],Statistical Decision True state of the Null Hypothesis True H O  NO Death False H O  Death  Reject H O   Type 1 (  α ) (Accept drug) Correct (Reject drug) Do Not Reject H O Correct (Accept Drug) Type II ( β ) (Reject Drug)

Contenu connexe

Similaire à Presentation 2

Hypothesis testing and p values 06
Hypothesis testing and p values  06Hypothesis testing and p values  06
Hypothesis testing and p values 06DrZahid Khan
 
introduction to biostatistics in clinical trials
introduction to biostatistics in clinical trialsintroduction to biostatistics in clinical trials
introduction to biostatistics in clinical trialsstopit2404
 
introduction to biostatistics in clinical trials
introduction to biostatistics in clinical trialsintroduction to biostatistics in clinical trials
introduction to biostatistics in clinical trialsstopit2404
 
WHAT IS PROBABILITYInsight into the use of probability .docx
WHAT IS PROBABILITYInsight into the use of probability .docxWHAT IS PROBABILITYInsight into the use of probability .docx
WHAT IS PROBABILITYInsight into the use of probability .docxalanfhall8953
 
Association vs causation
Association vs causationAssociation vs causation
Association vs causationRupesh Sahu
 
Statistics tests and Probablity
Statistics tests and ProbablityStatistics tests and Probablity
Statistics tests and ProbablityAbdul Wasay Baloch
 
Test of hypothesis
Test of hypothesisTest of hypothesis
Test of hypothesisJaspreet1192
 
Hypothesis testing
Hypothesis testingHypothesis testing
Hypothesis testingAfra Fathima
 
Testing of hypothesis and tests of significance
Testing of hypothesis and tests of significanceTesting of hypothesis and tests of significance
Testing of hypothesis and tests of significanceSudha Rameshwari
 
Epidemiology Lectures for UG
Epidemiology Lectures for UGEpidemiology Lectures for UG
Epidemiology Lectures for UGamitakashyap1
 
STA101 presentations.pdf
STA101 presentations.pdfSTA101 presentations.pdf
STA101 presentations.pdfLabibHossain6
 
Statistics
StatisticsStatistics
StatisticsMdNaim8
 
El espionaje de datos y la falacia de las pruebas múltiples
El espionaje de datos y la falacia de las pruebas múltiplesEl espionaje de datos y la falacia de las pruebas múltiples
El espionaje de datos y la falacia de las pruebas múltiplesafgallegos1997
 

Similaire à Presentation 2 (20)

Hypothesis testing and p values 06
Hypothesis testing and p values  06Hypothesis testing and p values  06
Hypothesis testing and p values 06
 
introduction to biostatistics in clinical trials
introduction to biostatistics in clinical trialsintroduction to biostatistics in clinical trials
introduction to biostatistics in clinical trials
 
introduction to biostatistics in clinical trials
introduction to biostatistics in clinical trialsintroduction to biostatistics in clinical trials
introduction to biostatistics in clinical trials
 
WHAT IS PROBABILITYInsight into the use of probability .docx
WHAT IS PROBABILITYInsight into the use of probability .docxWHAT IS PROBABILITYInsight into the use of probability .docx
WHAT IS PROBABILITYInsight into the use of probability .docx
 
Association vs causation
Association vs causationAssociation vs causation
Association vs causation
 
5 hypothesis testing lz
5 hypothesis testing   lz5 hypothesis testing   lz
5 hypothesis testing lz
 
Rm 3 Hypothesis
Rm   3   HypothesisRm   3   Hypothesis
Rm 3 Hypothesis
 
Statistics tests and Probablity
Statistics tests and ProbablityStatistics tests and Probablity
Statistics tests and Probablity
 
Hypothesistesting2
Hypothesistesting2Hypothesistesting2
Hypothesistesting2
 
Test of hypothesis
Test of hypothesisTest of hypothesis
Test of hypothesis
 
Hypothesis
HypothesisHypothesis
Hypothesis
 
Hypothesis testing
Hypothesis testingHypothesis testing
Hypothesis testing
 
Testing of hypothesis and tests of significance
Testing of hypothesis and tests of significanceTesting of hypothesis and tests of significance
Testing of hypothesis and tests of significance
 
Epidemiology Lectures for UG
Epidemiology Lectures for UGEpidemiology Lectures for UG
Epidemiology Lectures for UG
 
STA101 presentations.pdf
STA101 presentations.pdfSTA101 presentations.pdf
STA101 presentations.pdf
 
HINZ Education Workshop: Evidence Based Practice
HINZ Education Workshop: Evidence Based PracticeHINZ Education Workshop: Evidence Based Practice
HINZ Education Workshop: Evidence Based Practice
 
Statistics
StatisticsStatistics
Statistics
 
Reporting Results of Statistical Analysis
Reporting Results of Statistical Analysis Reporting Results of Statistical Analysis
Reporting Results of Statistical Analysis
 
Evidence Based Diagnosis
Evidence Based DiagnosisEvidence Based Diagnosis
Evidence Based Diagnosis
 
El espionaje de datos y la falacia de las pruebas múltiples
El espionaje de datos y la falacia de las pruebas múltiplesEl espionaje de datos y la falacia de las pruebas múltiples
El espionaje de datos y la falacia de las pruebas múltiples
 

Plus de msrpt

Pt for cerebellum
Pt for cerebellumPt for cerebellum
Pt for cerebellummsrpt
 
Presentation1
Presentation1Presentation1
Presentation1msrpt
 
Presentation 2
Presentation 2Presentation 2
Presentation 2msrpt
 
Positioning And Mobilization
Positioning And  MobilizationPositioning And  Mobilization
Positioning And Mobilizationmsrpt
 
Multiple Sclerosis
Multiple SclerosisMultiple Sclerosis
Multiple Sclerosismsrpt
 
Rood’s Approach
Rood’s ApproachRood’s Approach
Rood’s Approachmsrpt
 
Shortwave
ShortwaveShortwave
Shortwavemsrpt
 

Plus de msrpt (7)

Pt for cerebellum
Pt for cerebellumPt for cerebellum
Pt for cerebellum
 
Presentation1
Presentation1Presentation1
Presentation1
 
Presentation 2
Presentation 2Presentation 2
Presentation 2
 
Positioning And Mobilization
Positioning And  MobilizationPositioning And  Mobilization
Positioning And Mobilization
 
Multiple Sclerosis
Multiple SclerosisMultiple Sclerosis
Multiple Sclerosis
 
Rood’s Approach
Rood’s ApproachRood’s Approach
Rood’s Approach
 
Shortwave
ShortwaveShortwave
Shortwave
 

Presentation 2

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Disproving Null Vs Proving the Alternate Null Alternate
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Errors of Hypothesis testing α is also called as the significance value and is determined by the investigator Stastical Decision True state of the Null Hypothesis True H O False H O Reject H O Type 1 ( α ) Correct Do Not Reject H O Correct Type II ( β )
  • 18.