Which test would determine whether there is an association between gender and whether or not college-age drivers were ticketed?

Master the Identify the Inference Methods Test with flashcards and multiple choice questions. Each question comes with detailed hints and explanations. Start your study journey now and get ready to ace your exam!

Multiple Choice

Which test would determine whether there is an association between gender and whether or not college-age drivers were ticketed?

Explanation:
Testing whether gender is related to being ticketed uses a chi-square test of independence. It examines two categorical variables in a contingency table (gender and ticketed status) and asks if the distribution of ticketing is the same across genders or if there’s an association. If there’s a real relationship, the observed counts in the cells differ from what we’d expect if gender and ticketing were independent. For a 2x2 table, the degrees of freedom are (2−1)(2−1) = 1, which matches this scenario. Other methods aren’t suited for this question: a 2-proportion z-test compares a single proportion between two groups, not the full cross-tabulation; linear regression and ANOVA focus on numeric outcomes or mean differences, not the association between two categoricals (though logistic regression can model a binary outcome, the standard test for independence between two categoricals is the chi-square test).

Testing whether gender is related to being ticketed uses a chi-square test of independence. It examines two categorical variables in a contingency table (gender and ticketed status) and asks if the distribution of ticketing is the same across genders or if there’s an association. If there’s a real relationship, the observed counts in the cells differ from what we’d expect if gender and ticketing were independent. For a 2x2 table, the degrees of freedom are (2−1)(2−1) = 1, which matches this scenario. Other methods aren’t suited for this question: a 2-proportion z-test compares a single proportion between two groups, not the full cross-tabulation; linear regression and ANOVA focus on numeric outcomes or mean differences, not the association between two categoricals (though logistic regression can model a binary outcome, the standard test for independence between two categoricals is the chi-square test).

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy