AP Statistics 8.5 Setting Up a Chi-Square Test for Homogeneity or Independence - MCQs - Exam Style Questions
Question
(B) The chi-square test should not have been used because two of the counts in the table are less than \(5\).
(C) The null hypothesis states that there is an association between category and opinion about the use of instant replay, and the small p-value suggests that the null hypothesis should be rejected.
(D) The small p-value suggests that there is evidence of an association between category and opinion about the use of instant replay.
(E) The chi-square test shows that fans favor the use of instant replay.
▶️ Answer/Explanation
1. State the Hypotheses for the Test:
– The null hypothesis (\(H_0\)) for a chi-square test of independence is that there is **no association** between the two variables.
– The alternative hypothesis (\(H_a\)) is that there **is an association**.
2. Interpret the P-value:
A small p-value (in this case, \(p < 0.001\)) indicates that the observed data would be very unlikely if the null hypothesis were true. Since the p-value is less than any standard significance level (like \(0.05\)), we reject the null hypothesis.
3. Make a Conclusion:
By rejecting the null hypothesis of no association, we conclude that there is convincing statistical evidence of an association between a person’s category (player, fan, etc.) and their opinion on the use of instant replay.
✅ Answer: (D)
Question
(B) 5
(C) 3
(D) 2
(E) 1
▶️ Answer/Explanation
1. Identify Table Dimensions:
Gender: 2 categories (men, women)
Response: 3 categories (in favor, not in favor, no opinion)
2. Apply Chi-square Formula:
Degrees of freedom = \((r-1)(c-1)\) where \(r\) = rows, \(c\) = columns
Here: \((2-1)(3-1) = (1)(2) = 2\)
✅ Answer: (D) 2