SlideShare a Scribd company logo
1 of 16
FRIEDMAN TEST 
Dumago, Mirador, Diaday, Malda
III-Becquerel
• non-parametric alternative to
the one-way ANOVA with
repeated measures
• used t  test for differences
between groups when the
dependent variable being
measured is ordinal

iiIt can also be used for
continuous data that has
violated the assumptions
necessary to run the one-way
ANOVA with repeated
measures

• Assumption #1: One group that is
measured on three or more
different occasions.
• Assumption #2: Group is a
random sample from the
population.
• Assumption #3: Your dependent
variable should be measured at
the ordinal or interval/ratio level
• Assumption #4: Samples do NOT
need to be normally distributed.
Where:
= number of columns (often called
“treatments”)
= number of rows (often called
“blocks”)
= sum of the ranks in column.
EXAMPLE
: One of the three violins
will be selected by the
musical arts foundation
: none of the three violins
will be selected by the
musical arts foundation
SUBJECTS VIOLINS
A B C
1 9.0 7.0 6.0
2 9.5 6.5 8.0
3 5.0 7.0 4.0
4 7.5 7.5 6.0
5 9.5 5.0 7.0
6 7.5 8.0 6.5
7 8.0 6.0 6.0
8 7.0 6.5 4.0
9 8.5 7.0 6.5
10 6.0 7.0 3,0
SUBJE
CTS
ORIGINAL MEASURES
A B C
1 9.0 7.0 6.0
2 9.5 6.5 8.0
3 5.0 7.0 4.0
4 7.5 7.5 6.0
5 9.5 5.0 7.0
6 7.5 8.0 6.5
7 8.0 6.0 6.0
8 7.0 6.5 4.0
9 8.5 7.0 6.5
10 6.0 7.0 3,0
RANKED MEASURESS
A B C
3 2 1
3 1 2
2 3 1
2.5 2.5 1
3 1 2
2 3 1
3 1.5 1.5
3 2 1
3 2 1
2 3 1
SUBJECTS RANKED MEASURES
A B C
1 3 2 1
2 3 1 2
3 2 3 1
4 2.5 2.5 1
5 3 1 2
6 2 3 1
7 3 1.5 1.5
8 3 2 1
9 3 2 1
10 2 3 1
TOTAL 26.5 21.0 12.5
MEAN 2.65 2.10 1.25
A B C
ALL
counts 10 10 10 30 n=10
[subjects]T
k=3
[measures
per
subject]T
nk=30
sums 26.5 21.0 12.5 60.0
means 2.65 2.10 1.25 2.0

M= 12 [(26.5)2+(21.0)2(12.5)2]-(3)(10)(4)
(10)(3)(4)
M= (0.1 x 1299.5)-120
M= 9.95


More Related Content

What's hot

Analysis of variance (ANOVA)
Analysis of variance (ANOVA)Analysis of variance (ANOVA)
Analysis of variance (ANOVA)Sneh Kumari
 
The Kruskal-Wallis H Test
The Kruskal-Wallis H TestThe Kruskal-Wallis H Test
The Kruskal-Wallis H TestDr. Ankit Gaur
 
Parametric test _ t test and ANOVA _ Biostatistics and Research Methodology....
Parametric test _ t test and ANOVA _  Biostatistics and Research Methodology....Parametric test _ t test and ANOVA _  Biostatistics and Research Methodology....
Parametric test _ t test and ANOVA _ Biostatistics and Research Methodology....AZCPh
 
Anova and T-Test
Anova and T-TestAnova and T-Test
Anova and T-TestAD Sarwar
 
NON-PARAMETRIC TESTS by Prajakta Sawant
NON-PARAMETRIC TESTS by Prajakta SawantNON-PARAMETRIC TESTS by Prajakta Sawant
NON-PARAMETRIC TESTS by Prajakta SawantPRAJAKTASAWANT33
 
Analysis of variance ppt @ bec doms
Analysis of variance ppt @ bec domsAnalysis of variance ppt @ bec doms
Analysis of variance ppt @ bec domsBabasab Patil
 
Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...
Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...
Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...AZCPh
 
One way anova final ppt.
One way anova final ppt.One way anova final ppt.
One way anova final ppt.Aadab Mushrib
 
Mann Whitney U Test | Statistics
Mann Whitney U Test | StatisticsMann Whitney U Test | Statistics
Mann Whitney U Test | StatisticsTransweb Global Inc
 
Parametric tests
Parametric testsParametric tests
Parametric testsheena45
 
Anova - One way and two way
Anova - One way and two wayAnova - One way and two way
Anova - One way and two wayAbarnaPeriasamy3
 

What's hot (20)

Analysis of variance (ANOVA)
Analysis of variance (ANOVA)Analysis of variance (ANOVA)
Analysis of variance (ANOVA)
 
Non parametric test
Non parametric testNon parametric test
Non parametric test
 
Kruskal Wall Test
Kruskal Wall TestKruskal Wall Test
Kruskal Wall Test
 
Non parametric tests
Non parametric testsNon parametric tests
Non parametric tests
 
The Kruskal-Wallis H Test
The Kruskal-Wallis H TestThe Kruskal-Wallis H Test
The Kruskal-Wallis H Test
 
The mann whitney u test
The mann whitney u testThe mann whitney u test
The mann whitney u test
 
Parametric test _ t test and ANOVA _ Biostatistics and Research Methodology....
Parametric test _ t test and ANOVA _  Biostatistics and Research Methodology....Parametric test _ t test and ANOVA _  Biostatistics and Research Methodology....
Parametric test _ t test and ANOVA _ Biostatistics and Research Methodology....
 
Anova and T-Test
Anova and T-TestAnova and T-Test
Anova and T-Test
 
NON-PARAMETRIC TESTS by Prajakta Sawant
NON-PARAMETRIC TESTS by Prajakta SawantNON-PARAMETRIC TESTS by Prajakta Sawant
NON-PARAMETRIC TESTS by Prajakta Sawant
 
Regression
RegressionRegression
Regression
 
Analysis of variance ppt @ bec doms
Analysis of variance ppt @ bec domsAnalysis of variance ppt @ bec doms
Analysis of variance ppt @ bec doms
 
Kruskal wallis test
Kruskal wallis testKruskal wallis test
Kruskal wallis test
 
Parametric tests
Parametric testsParametric tests
Parametric tests
 
Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...
Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...
Probability ,Binomial distribution, Normal distribution, Poisson’s distributi...
 
{ANOVA} PPT-1.pptx
{ANOVA} PPT-1.pptx{ANOVA} PPT-1.pptx
{ANOVA} PPT-1.pptx
 
One way anova final ppt.
One way anova final ppt.One way anova final ppt.
One way anova final ppt.
 
Mann Whitney U Test | Statistics
Mann Whitney U Test | StatisticsMann Whitney U Test | Statistics
Mann Whitney U Test | Statistics
 
Anova ppt
Anova pptAnova ppt
Anova ppt
 
Parametric tests
Parametric testsParametric tests
Parametric tests
 
Anova - One way and two way
Anova - One way and two wayAnova - One way and two way
Anova - One way and two way
 

Viewers also liked

What is a Friedman Test?
What is a Friedman Test?What is a Friedman Test?
What is a Friedman Test?Ken Plummer
 
Friedman two way analysis of variance by
Friedman two way analysis of  variance byFriedman two way analysis of  variance by
Friedman two way analysis of variance byIybaro Reyes
 
Reporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APAReporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APAKen Plummer
 
Null hypothesis for Friedman Test
Null hypothesis for Friedman TestNull hypothesis for Friedman Test
Null hypothesis for Friedman TestKen Plummer
 
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
 
Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...
Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...
Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...Anu Suominen
 
Null hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis TestNull hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis TestKen Plummer
 
Chi Square Worked Example
Chi Square Worked ExampleChi Square Worked Example
Chi Square Worked ExampleJohn Barlow
 
Reporting a Kruskal Wallis Test
Reporting a Kruskal Wallis TestReporting a Kruskal Wallis Test
Reporting a Kruskal Wallis TestKen Plummer
 
Ppt infer friedman test
Ppt infer   friedman testPpt infer   friedman test
Ppt infer friedman testTara Callista
 
Nonparametric statistics
Nonparametric statisticsNonparametric statistics
Nonparametric statisticsTarun Gehlot
 
Nonparametric methods and chi square tests (1)
Nonparametric methods and chi square tests (1)Nonparametric methods and chi square tests (1)
Nonparametric methods and chi square tests (1)Shakeel Nouman
 
T12 non-parametric tests
T12 non-parametric testsT12 non-parametric tests
T12 non-parametric testskompellark
 
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
 
Mann Whitney U Test
Mann Whitney U TestMann Whitney U Test
Mann Whitney U TestJohn Barlow
 
F test Analysis of Variance (ANOVA)
F test Analysis of Variance (ANOVA)F test Analysis of Variance (ANOVA)
F test Analysis of Variance (ANOVA)Marianne Maluyo
 

Viewers also liked (20)

What is a Friedman Test?
What is a Friedman Test?What is a Friedman Test?
What is a Friedman Test?
 
Friedman two way analysis of variance by
Friedman two way analysis of  variance byFriedman two way analysis of  variance by
Friedman two way analysis of variance by
 
Reporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APAReporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APA
 
Null hypothesis for Friedman Test
Null hypothesis for Friedman TestNull hypothesis for Friedman Test
Null hypothesis for Friedman Test
 
What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?
 
Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...
Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...
Using Friedman Test For Creating Comparable Group Results Of Non Parametric I...
 
Null hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis TestNull hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis Test
 
Chi Square Worked Example
Chi Square Worked ExampleChi Square Worked Example
Chi Square Worked Example
 
Reporting a Kruskal Wallis Test
Reporting a Kruskal Wallis TestReporting a Kruskal Wallis Test
Reporting a Kruskal Wallis Test
 
Ppt infer friedman test
Ppt infer   friedman testPpt infer   friedman test
Ppt infer friedman test
 
The siegel-tukey-test-for-equal-variability
The siegel-tukey-test-for-equal-variabilityThe siegel-tukey-test-for-equal-variability
The siegel-tukey-test-for-equal-variability
 
Nonparametric statistics
Nonparametric statisticsNonparametric statistics
Nonparametric statistics
 
Chapter38
Chapter38Chapter38
Chapter38
 
Statistics2x2'x2'yates 'x'2
Statistics2x2'x2'yates 'x'2Statistics2x2'x2'yates 'x'2
Statistics2x2'x2'yates 'x'2
 
Nonparametric methods and chi square tests (1)
Nonparametric methods and chi square tests (1)Nonparametric methods and chi square tests (1)
Nonparametric methods and chi square tests (1)
 
T12 non-parametric tests
T12 non-parametric testsT12 non-parametric tests
T12 non-parametric tests
 
Лекц 1
Лекц 1Лекц 1
Лекц 1
 
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
 
Mann Whitney U Test
Mann Whitney U TestMann Whitney U Test
Mann Whitney U Test
 
F test Analysis of Variance (ANOVA)
F test Analysis of Variance (ANOVA)F test Analysis of Variance (ANOVA)
F test Analysis of Variance (ANOVA)
 

Similar to Friedman test Stat

Congrès International de Métrologie - Paris 2017
Congrès International de Métrologie - Paris 2017Congrès International de Métrologie - Paris 2017
Congrès International de Métrologie - Paris 2017Jean-Michel POU
 
Tablas militares
Tablas militares Tablas militares
Tablas militares Mau Lira
 
Table_MIL_STD_105E.pdf
Table_MIL_STD_105E.pdfTable_MIL_STD_105E.pdf
Table_MIL_STD_105E.pdfAmirMugozin1
 
Esitmates for year 201620162015Sales (units) increase.docx
Esitmates for year 201620162015Sales (units) increase.docxEsitmates for year 201620162015Sales (units) increase.docx
Esitmates for year 201620162015Sales (units) increase.docxYASHU40
 
· 8.6 A large laboratory has four types of devices used to determi.docx
· 8.6 A large laboratory has four types of devices used to determi.docx· 8.6 A large laboratory has four types of devices used to determi.docx
· 8.6 A large laboratory has four types of devices used to determi.docxoswald1horne84988
 
07 ch ken black solution
07 ch ken black solution07 ch ken black solution
07 ch ken black solutionKrunal Shah
 
wealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docx
wealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docxwealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docx
wealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docxmelbruce90096
 
Statistical quality control
Statistical quality controlStatistical quality control
Statistical quality controlSai Datri Arige
 
0625 w04 qp_6
0625 w04 qp_60625 w04 qp_6
0625 w04 qp_6King Ali
 
Meta experimentation at Etsy - Emily Sommer
Meta experimentation at Etsy - Emily SommerMeta experimentation at Etsy - Emily Sommer
Meta experimentation at Etsy - Emily SommerEvention
 
R&T 2007 - Replacement Interval Calculations - Elder.pdf
R&T 2007 - Replacement Interval Calculations - Elder.pdfR&T 2007 - Replacement Interval Calculations - Elder.pdf
R&T 2007 - Replacement Interval Calculations - Elder.pdfchunxingyao
 
0625 w11 qp_52
0625 w11 qp_520625 w11 qp_52
0625 w11 qp_52King Ali
 
14. Statistical Process Control.pptx
14. Statistical Process Control.pptx14. Statistical Process Control.pptx
14. Statistical Process Control.pptxSarthakGupta856447
 
Sqqs1013 ch6-a122
Sqqs1013 ch6-a122Sqqs1013 ch6-a122
Sqqs1013 ch6-a122kim rae KI
 
STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE
STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE
STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE Dr Duggirala Mahendra
 
Aug2014 spiral genetics anchored assembly
Aug2014 spiral genetics anchored assemblyAug2014 spiral genetics anchored assembly
Aug2014 spiral genetics anchored assemblyGenomeInABottle
 

Similar to Friedman test Stat (20)

Congrès International de Métrologie - Paris 2017
Congrès International de Métrologie - Paris 2017Congrès International de Métrologie - Paris 2017
Congrès International de Métrologie - Paris 2017
 
Tablas militares
Tablas militares Tablas militares
Tablas militares
 
Table_MIL_STD_105E.pdf
Table_MIL_STD_105E.pdfTable_MIL_STD_105E.pdf
Table_MIL_STD_105E.pdf
 
Esitmates for year 201620162015Sales (units) increase.docx
Esitmates for year 201620162015Sales (units) increase.docxEsitmates for year 201620162015Sales (units) increase.docx
Esitmates for year 201620162015Sales (units) increase.docx
 
· 8.6 A large laboratory has four types of devices used to determi.docx
· 8.6 A large laboratory has four types of devices used to determi.docx· 8.6 A large laboratory has four types of devices used to determi.docx
· 8.6 A large laboratory has four types of devices used to determi.docx
 
07 ch ken black solution
07 ch ken black solution07 ch ken black solution
07 ch ken black solution
 
wealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docx
wealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docxwealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docx
wealth age region37 50 M24 88 U14 64 A13 63 U13 66 .docx
 
Statistical quality control
Statistical quality controlStatistical quality control
Statistical quality control
 
Table mil std_105_e
Table mil std_105_eTable mil std_105_e
Table mil std_105_e
 
0625 w04 qp_6
0625 w04 qp_60625 w04 qp_6
0625 w04 qp_6
 
Meta experimentation at Etsy - Emily Sommer
Meta experimentation at Etsy - Emily SommerMeta experimentation at Etsy - Emily Sommer
Meta experimentation at Etsy - Emily Sommer
 
R&T 2007 - Replacement Interval Calculations - Elder.pdf
R&T 2007 - Replacement Interval Calculations - Elder.pdfR&T 2007 - Replacement Interval Calculations - Elder.pdf
R&T 2007 - Replacement Interval Calculations - Elder.pdf
 
0625 w11 qp_52
0625 w11 qp_520625 w11 qp_52
0625 w11 qp_52
 
14. Statistical Process Control.pptx
14. Statistical Process Control.pptx14. Statistical Process Control.pptx
14. Statistical Process Control.pptx
 
Sqqs1013 ch6-a122
Sqqs1013 ch6-a122Sqqs1013 ch6-a122
Sqqs1013 ch6-a122
 
STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE
STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE
STATISTICAL QUALITY CONTROL- QUALITY ASSURANCE
 
Design of Experiments
Design of ExperimentsDesign of Experiments
Design of Experiments
 
Aug2014 spiral genetics anchored assembly
Aug2014 spiral genetics anchored assemblyAug2014 spiral genetics anchored assembly
Aug2014 spiral genetics anchored assembly
 
Qc tools
Qc toolsQc tools
Qc tools
 
Qc tools
Qc toolsQc tools
Qc tools
 

Recently uploaded

Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
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
 
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
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxPooja Bhuva
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxDr. Ravikiran H M Gowda
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and ModificationsMJDuyan
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseAnaAcapella
 
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
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...Nguyen Thanh Tu Collection
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxJisc
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxAmanpreet Kaur
 
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
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
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
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 

Recently uploaded (20)

Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
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
 
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
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
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...
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
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
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
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...
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 

Friedman test Stat

  • 1. FRIEDMAN TEST  Dumago, Mirador, Diaday, Malda III-Becquerel
  • 2. • non-parametric alternative to the one-way ANOVA with repeated measures • used t  test for differences between groups when the dependent variable being measured is ordinal 
  • 3. iiIt can also be used for continuous data that has violated the assumptions necessary to run the one-way ANOVA with repeated measures 
  • 4. • Assumption #1: One group that is measured on three or more different occasions. • Assumption #2: Group is a random sample from the population.
  • 5. • Assumption #3: Your dependent variable should be measured at the ordinal or interval/ratio level • Assumption #4: Samples do NOT need to be normally distributed.
  • 6. Where: = number of columns (often called “treatments”) = number of rows (often called “blocks”) = sum of the ranks in column.
  • 8.
  • 9. : One of the three violins will be selected by the musical arts foundation : none of the three violins will be selected by the musical arts foundation
  • 10. SUBJECTS VIOLINS A B C 1 9.0 7.0 6.0 2 9.5 6.5 8.0 3 5.0 7.0 4.0 4 7.5 7.5 6.0 5 9.5 5.0 7.0 6 7.5 8.0 6.5 7 8.0 6.0 6.0 8 7.0 6.5 4.0 9 8.5 7.0 6.5 10 6.0 7.0 3,0
  • 11. SUBJE CTS ORIGINAL MEASURES A B C 1 9.0 7.0 6.0 2 9.5 6.5 8.0 3 5.0 7.0 4.0 4 7.5 7.5 6.0 5 9.5 5.0 7.0 6 7.5 8.0 6.5 7 8.0 6.0 6.0 8 7.0 6.5 4.0 9 8.5 7.0 6.5 10 6.0 7.0 3,0 RANKED MEASURESS A B C 3 2 1 3 1 2 2 3 1 2.5 2.5 1 3 1 2 2 3 1 3 1.5 1.5 3 2 1 3 2 1 2 3 1
  • 12. SUBJECTS RANKED MEASURES A B C 1 3 2 1 2 3 1 2 3 2 3 1 4 2.5 2.5 1 5 3 1 2 6 2 3 1 7 3 1.5 1.5 8 3 2 1 9 3 2 1 10 2 3 1 TOTAL 26.5 21.0 12.5 MEAN 2.65 2.10 1.25
  • 13. A B C ALL counts 10 10 10 30 n=10 [subjects]T k=3 [measures per subject]T nk=30 sums 26.5 21.0 12.5 60.0 means 2.65 2.10 1.25 2.0 
  • 15.
  • 16.