A researcher is interested in assessing if there are differences in the average number of monthly re

Krystian Quintero

Krystian Quintero

Answered question

2022-03-03

A researcher is interested in assessing if there are differences in the average number of monthly religious event attendances across religious affiliations. Religious event attendance is measured as an interval-ratio variable: it is the number of events that each survey respondent reported attending in the previous month. Religious affiliation is measured as a nominal variable with the following categories: Protestant, Catholic, Jewish, Muslim, Hindu, Buddhist, other, and not religious. Which of the following hypothesis tests would be appropriate, given the types of variables presented?
a. Chi-square test
b. Two-sample difference-of-proportions z-test
c. ANOVA
d. One-sample difference-of-proportions z-test

Answer & Explanation

lilwayne10j6o

lilwayne10j6o

Beginner2022-03-04Added 8 answers

The Chi-Square test is used by the researcher if there are differences in the average number of monthly religious event attendees.
Because, the categories - Protestant, Catholic, Jewish, Muslim, Hindu, Buddhist, other, and not religious are from the same population uses the Chi-Square test.
Hence, the answer is chi-square test.

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