__MACOSX/._untitled folder 2 untitled folder 2/.DS_Store __MACOSX/untitled folder 2/._.DS_Store untitled folder 2/Assignment 4 Non-parametric.docx CES 714 Advanced Statistics Assignment 4 – 20 points...

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I need two non parametric tests run for two data sets chi-square and McNemar test



__MACOSX/._untitled folder 2 untitled folder 2/.DS_Store __MACOSX/untitled folder 2/._.DS_Store untitled folder 2/Assignment 4 Non-parametric.docx CES 714 Advanced Statistics Assignment 4 – 20 points Non-Parametric Tests Use the SPSS file for assignment 4 provided in the Assignment 4 folder. Use Costly Obedience dataset for the Chi-square analysis and class forgiveness dataset for the McNemar test that is a repeated measure test. Chi-square (X2 ) test (2 groups) – 10 points 1. State your research question (using X2 Test language), set alpha level. (2 points) 2. Explain how your data meets required assumptions, produce charts, graphs or SPSS outputs to support your point. (3 points) 3. Run X2 analysis and paste your output. (1 point) 4. Report your findings in APA, write them up in a paragraph format. (2 points) 5. State practical significance of your test. (2 points) Repeat all the same steps for McNemar test for repeated measures– 10 points __MACOSX/untitled folder 2/._Assignment 4 Non-parametric.docx untitled folder 2/~$signment 4 Non-parametric.docx __MACOSX/untitled folder 2/._~$signment 4 Non-parametric.docx untitled folder 2/Calibate Gay Christians Data Set for class.200 cases(2).sav __MACOSX/untitled folder 2/._Calibate Gay Christians Data Set for class.200 cases(2).sav untitled folder 2/Class_Forgiveness_DataSet2.sav __MACOSX/untitled folder 2/._Class_Forgiveness_DataSet2.sav
untitled-folder-2-wifjczdu-24r0se1j.zip calibate-gay-christians-data-set-for-class200-cases2-te1q5bwb-1pti3e3r.sav
Answered Same DayOct 19, 2021

Answer To: __MACOSX/._untitled folder 2 untitled folder 2/.DS_Store __MACOSX/untitled folder 2/._.DS_Store...

Pooja answered on Oct 20 2021
133 Votes
Chi Square Test:
1. I want to test if gender and race Ethnicity are dependent in each other. Level of significance is 5%
Null hypothesis, ho: Gender and Race-Ethnicity are independent on each other.
Alternative hypothesis, h1: Gender and Race-Ethnicity are dependent on each other.
2. Since the two variables gender and race ethnicity are categorial in nature, it is sufficient to apply chi square test.
But is noted that the assumption of cell counts 5 for each cell is not satisfied.
3. Output is given below.
    Sex/Gender:  * Race/Ethnicity:  Crosstabulation
    
    
    
    Race/Ethnicity: 
    Total
    
    
    
    White
    African American/Black
    Asican/Pacific Islander
    Hispanic/Latino
    Multicultural
    Other
    
    Sex/Gender: 
    Female
    Count
    27
    2
    4
    1
    1
    1
    36
    
    
    Expected Count
    30.1
    1.3
    3.1
    .2
    .7
    .7
    36.0
    
    Male
    Count
    138
    5
    13
    0
    3
    3
    162
    
    
    Expected Count
    135.3
    5.7
    13.8
    .8
    3.2
    3.2
    162.0
    
    Transgender
    Count
    2
    0
    0
    0
    0
    0
    2
    
    
    Expected Count
    1.7
    .1
    .2
    .0
    .0
    .0
    2.0
    Total
    Count
    167
    7
    17
    1
    4
    4
    200
    
    Expected...
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