1. A marketing researcher wants to investigate how often people of different ages make purchases from Amazon. The marketer decides to look at people from 18-25, 26-30, 30-35, and 36-40. He gathers data from 824 Amazon users and counts the number of purchases they make in the month of May. He analyzes his data via ANOVA. How many levels does he have in his design?
A. unable to answer with the given information
B. 824
C. 4
D. 5
2. Within-group differences are the result of differences ___________. Between-group differences are the result of _____________.
Options: between the different levels of the factor, between your different post-hocs, within one level of a factor, within your overall research design
3. You are most likely to get a significant ANOVA with a large effect size if the differences between your levels of your factor is ______________ and the variance within each level is ________________.
Options: constant, small, large, moderate
How many levels does he have in his design?
C. 4 (As we have four age groups under study)
Within-group differences are the result of differences between the different levels of the factor. Between-group differences are the result of within your overall research design.
You are most likely to get a significant ANOVA with a large effect size if the differences between your levels of your factor is constant and the variance within each level is small.
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