I remember practicing a question about chi-square tests with contingency tables, and it was all about checking for dependency. So I think the answer is A.
I'm a little confused by this question. I know contingency tables are used for categorical data, but I can't recall the specific purpose. Is it for testing associations, or something else? I'll have to review my notes to be sure.
Okay, let me think this through step-by-step. Contingency tables show the frequencies of observations that fall into different categories. If the categories are independent, the observed frequencies should match the expected frequencies. So this is used to test for associations between the categories. I'm going to go with A) True on this one.
Hmm, I'm a bit unsure about this. I know contingency tables have something to do with categorical data, but I can't quite remember if it's for testing associations or something else. I'll have to think this through.
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