| Approve | Disapprove |
| Commuter | 89 | 36 |
| Resident | 103 | 22 |
A small university conducts a random survey of 250 students to see if approval of a no-smoking policy on campus is somehow correlated with residency. The data are presented in the contingency table. Do the two variables appear to be dependent? Select the appropriate critical value (CV), test statistic (TS), and conclusion. (Useα= 0.01.)
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CV = 6.6349, TS = 11.8897; the survey data provide sufficient evidence to accept the statement that residency status and approval are dependent.
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CV = 6.6349, TS = 1.7688; the survey data do not provide sufficient evidence to reject the statement that residency status and approval are independent.
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CV = 13.2767, TS = 4.4001; the survey data do not provide sufficient evidence to reject the statement that residency status and approval are independent.
◦
CV = 6.6349, TS = 4.4001; the survey data do not provide sufficient evidence to reject the statement that residency status and approval are independent.
John Hopkins University
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