You notice that some bus riders wear headphones while others do not, but with so many passengers on so many different buses, it is hard to estimate if gender is a factor when it comes to wearing or not wearing headphones. To address this question, you spend the day riding city buses as you unobtrusively record your observations of each passenger on the following data sheet:

Data set: Ch 10 €“ Exercise 02A.sav
Codebook
Variable: Gender
Definition: Gender of bus rider
Type: Categorical (1 = Female, 2 = Male)
Variable: Headphone
Definition: Headphone status
Type: Categorical (1 = Headphones, 2 = No headphones)
a. Write the hypotheses.
b. Run the criteria of the pretest checklist (n is at least 5 per cell in the Crosstab) and discuss your findings.
c. Run the chi-square test and document your findings (ns and/or percentages, Sig. [p value]).
d. Write an abstract under 200 words detailing a summary of the study, the chi-square test results, hypothesis resolution, and implications of your findings.

Gender Headphones O No headphones O No headphones O No headphones O No headphones OM O Headphones O Headphones OMO Headphones O Headphones