7. At the beginning of a semester an anonymous survey was conducted on students in a statistics class. Two of the questions on the survey were about gender and whether or not students have equal, more, or less energy in the afternoon compared to the morning. Below are the results. Equal Less More 37 Female 18 24 Male 9 15 24 What test should we perform to see if gender and energy level are associated? Comparing two proportions hypothesis test for a single mean Chi-square test of goodness of fit Comparing two means F test Chi-square test of independence ANOVA

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7. At the beginning of a semester an anonymous survey was conducted on students in a statistics class. Two of the
questions on the survey were about gender and whether or not students have equal, more, or less energy in the
afternoon compared to the morning. Below are the results.
Equal Less More
Female
18
37
24
Male
9
15
24
What test should we perform to see if gender and energy level are associated?
Comparing two proportions
hypothesis test for a single mean
Chi-square test of goodness of fit
Comparing two means
F test
Chi-square test of independence
ANOVA
Z test
Transcribed Image Text:7. At the beginning of a semester an anonymous survey was conducted on students in a statistics class. Two of the questions on the survey were about gender and whether or not students have equal, more, or less energy in the afternoon compared to the morning. Below are the results. Equal Less More Female 18 37 24 Male 9 15 24 What test should we perform to see if gender and energy level are associated? Comparing two proportions hypothesis test for a single mean Chi-square test of goodness of fit Comparing two means F test Chi-square test of independence ANOVA Z test
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