In running a chi-square test of significance on the data from the graph in Exercise 8.2.3 about comparing coffee drinking between where students live, which of A-E is the appropriate way to write the null hypothesis? 

A. There is no association between where students live and whether they are regular coffee drinkers in the population. 

B. There is an association between where students live and whether they are regular coffee drinkers in the population. 

C. The average number of coffee drinkers that live in a dorm is the same as the average number of coffee drinkers that live in college apartments, and this is the same as the average number of coffee drinkers that live off campus in the population. 

D. At least one average number of coffee drinkers is different between the three groups (dorm, off campus, apartment) in the population. 

E. At least one proportion of coffee drinkers is different between the three groups (dorm, off campus, apartment) in the population.

Data from Exercise 8.2.3

Recall Exercise 8.2.2 on where students live and whether they regularly drink coffee. The results of the survey are shown in the mosaic plot. Which of these would you predict to be the findings if a chisquare test of significance was done on these data? 

Transcribed Image Text:

Percentage 100 80 60 40 20 0 No Yes Dorm No Yes Off campus Residence No Yes Apt