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...


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<br>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<br>tests would be appropriate, given the types of variables presented?<br>O Chi-square test<br>O Two-sample difference-of-proportions z-test<br>O ANOVA<br>O One-sample difference-of-proportions z-test<br>

Extracted text: 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? O Chi-square test O Two-sample difference-of-proportions z-test O ANOVA O One-sample difference-of-proportions z-test

Jun 11, 2022
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