AP Statistics Practice Quiz: Skills Focus: Selecting an Appropriate Inference Procedure for Categorical Data
Written by AP Content Team, Verified for 2026 AP Exams, Last updated: May 2026
Test your understanding with short quizzes. This quiz has 7 questions to check your progress.
Question 1 of 7
All Questions (7)
A) A two-sample z-test for a difference in proportions
B) A chi-square goodness-of-fit test
C) A one-sample z-test for a proportion
D) A chi-square test for independence
Correct Answer: C
The sociologist is testing a claim about a single proportion (the proportion of adults in her city who have a pet dog) against a known or hypothesized value (the national claim of 35%). This involves one sample from one population. Therefore, a one-sample z-test for a proportion is the appropriate procedure.
A) A chi-square test for independence
B) A two-sample z-test for a difference in proportions
C) A one-sample z-interval for a proportion
D) A chi-square goodness-of-fit test
Correct Answer: B
This scenario involves comparing a categorical outcome (symptom reduction: yes/no) between two independent groups (medication and placebo) that were created through random assignment in an experiment. The goal is to compare the proportions of success in these two groups. A two-sample z-test for a difference in proportions is the correct procedure for this purpose. A chi-square test for homogeneity could also be used, but the z-test is specifically designed to compare two proportions.
A) A one-sample z-test for a proportion
B) A chi-square test for homogeneity
C) A two-sample z-interval for a difference in proportions
D) A chi-square goodness-of-fit test
Correct Answer: D
The student is comparing the observed distribution of a single categorical variable (color) with more than two categories from a single sample to a hypothesized or expected distribution. A chi-square goodness-of-fit test is designed specifically for this purpose, to see how well the observed sample distribution 'fits' the claimed population distribution.
A) A chi-square test for homogeneity
B) A series of one-sample z-tests for each music genre
C) A chi-square test for independence
D) A two-sample z-test for a difference in proportions
Correct Answer: C
This study involves a single random sample from one population (young adults). For each individual in the sample, two different categorical variables (music genre and social media platform) are recorded. The research question is about the relationship or association between these two variables within that single population. Therefore, a chi-square test for independence is the correct procedure.
A) A chi-square test for independence
B) A chi-square goodness-of-fit test
C) A two-sample z-test for a difference in proportions
D) A chi-square test for homogeneity
Correct Answer: D
This study involves two separate, independent samples taken from two distinct populations (urban students and rural students). The researcher is comparing the distribution of a single categorical variable (after-school activity) across these two populations. The appropriate procedure to test if the distribution of a categorical variable is the same across two or more populations is the chi-square test for homogeneity.
A) A one-sample z-interval for a proportion
B) A one-sample z-test for a proportion
C) A two-sample z-interval for a difference in proportions
D) A chi-square goodness-of-fit test
Correct Answer: A
The goal is to estimate a population parameter (the true proportion of all residents in favor) rather than to test a specific hypothesis about it. The phrase 'create an interval to capture the true proportion' indicates that a confidence interval is needed. Since there is only one sample from one population, a one-sample z-interval for a proportion is the correct procedure.
A) A chi-square test for independence, because there are two categorical variables: party affiliation and approval status.
B) A chi-square test for homogeneity, because the analyst is comparing the distribution of approval status across two populations.
C) A one-sample z-test for a proportion, because the overall approval rating is the primary interest.
D) A chi-square goodness-of-fit test, because the analyst is checking if the observed counts fit a particular model.
Correct Answer: B
The analyst has taken two independent samples from two distinct populations (Democrats and Republicans) and wants to compare the distribution of a single categorical variable (approval: yes/no) between them. This is the classic setup for a chi-square test for homogeneity. While a two-sample z-test for a difference in proportions would also be appropriate and is mathematically equivalent in this 2x2 case, the chi-square test for homogeneity is the best description among the choices provided, especially as it generalizes to more than two populations or more than two categories. Option A is incorrect because the sampling method (two separate samples) defines it as a test of homogeneity, not independence.