Association Between Categorical Variables
Preview: When studying statistics, it can be important to understand the association, if any, between two categorical variables. To investigate this, we create a two-dimensional table where one variable defines the columns and the second the rows. Such tables are called contingency tables. We then compare the actual entries in the table with those entries that would result under the assumption that there was no association between the two variables. Then we check the combined relative difference between the actual and expected values. If this difference is small, we were correct in assuming no relation, but if the difference is large, the variables must be related. We formalize this idea into ...
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