SPSS LAP assignment
LAB 6 Contingency Table Analyses
Objective: Be able to correctly use and interpret Chi-Square test, a test for independence between two qualitative variables.
Please download Assignment_6_SP15.sav dataset for this lab.
1. You may have noticed that some of the people at the beginning of the study were smokers. You may be interested to know if smoking status at baseline is independent of gender? Smoking status and gender are both nominal (i.e., qualitative) variables. The best method to examine the relationship between two nominal variables is using CHI SQUARE test statistic.
a. State the null Hypothesis: ______________________________________________.
b. Are the assumptions of Pearson Chi-Square’s test of independence met?
· No more than 20% of the cells having expected frequency (count) < 5 Yes No
· The expected frequency (count) in each cell must be ≥1 Yes No
c. Results of the analysis: Test Statistics Value ________ P-value _______
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Gender |
P-value* |
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Male |
Female |
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N |
% |
N |
% |
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Smoking Status at Baseline |
Yes |
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No |
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* test value = , p-value = |
d. Decision:
· Fail to reject the null hypothesis (FTR) √ Reject
e. Conclusion (Interpretation): ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Does body frame size depend on gender?
a. Your Null Hypothesis:______________________________________________.
b. Are the assumptions of Pearson Chi-Square’s test of independence met?
· No more than 20% of the cells having expected frequency (count) < 5 Yes No
· The expected frequency (count) in each cell must be ≥1 Yes No
c. Results of the analysis: Test Statistics Value ________ P-value _______
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Gender |
P-value* |
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Male |
Female |
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N |
% |
N |
% |
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Body Frame Size |
Small |
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Medium |
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Large |
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* test value = , p-value = |
d. Decision:
· Fail to reject the null hypothesis (FTR) √ Reject
e. Conclusion (Interpretation): ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
3. Answer the following questions:
a. How many married men attended the lifestyle intervention program? __________
b. What percent of the women were single? ___________