You read a report saying that people who buy antiques online tend to be more highly educated than people who buy antiques at live auctions What are the two variables in this study

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In Module 30, we calculated a z' goodness of fit, which is a one-variable test. Although there were multiple categories within that one variable (Libertarian, Green Party, Democratic, and Republican), there was still only one variable-political party affiliation. In this module, we will calculate a two-variable x, also called a test of independence. As with any x, there are no scores and, hence, no means or standard deviations. The data, as in Module 30, are frequencies. The goal of a two-variable x' is to determine whether or not the first variable is related to-or independent of-the second variable. In that way, it is similar to the test for an inter- action effect in ANOVA: Is the outcome in one variable related to the outcome in some other variable? Chi-square tests of independence are fairly common. To continue with our example from Module 30, we might investigate whether or not persons registered with various political parties are differentially likely to actually go to the polls and cast a vote on election day. Note that there are two variables. in that example: (1) political party affiliation and (2) voting status. In another study, we might determine whether boys or girls are more likely to be placed in a gifted education program. There are two variables in that study: (1) the child's gender and (2) whether or not the child is placed in a gifted education program. In Module 30, we calculated a z' goodness of fit, which is a one-variable test. Although there were multiple categories within that one variable (Libertarian, Green Party, Democratic, and Republican), there was still only one variable-political party affiliation. In this module, we will calculate a two-variable x, also called a test of independence. As with any x, there are no scores and, hence, no means or standard deviations. The data, as in Module 30, are frequencies. The goal of a two-variable x' is to determine whether or not the first variable is related to-or independent of-the second variable. In that way, it is similar to the test for an inter- action effect in ANOVA: Is the outcome in one variable related to the outcome in some other variable? Chi-square tests of independence are fairly common. To continue with our example from Module 30, we might investigate whether or not persons registered with various political parties are differentially likely to actually go to the polls and cast a vote on election day. Note that there are two variables. in that example: (1) political party affiliation and (2) voting status. In another study, we might determine whether boys or girls are more likely to be placed in a gifted education program. There are two variables in that study: (1) the child's gender and (2) whether or not the child is placed in a gifted education program.

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