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When were trying to understand the world around us, we often rely on data. At a basic level, data allows us to look at descriptive statistics about variables. We could look at a variable like this poll question: do you approve or disapprove of the way Barack Obama is handling his job as President. A simple statistic might look at percent who said Approve. That single number is what we call approval rating. Politicians care about that number because it allows them to assess change over time. However, someone might also care how approval varies by group. For instance, they might want to compare mens level of approval to that of women. This is where cross tabulations come in handy. Cross-tabulations, cross-tabs for short, are also known as contingency tables. Cross-tabs rely on categorical data. Cross-tabs show how one variable differs based on another variable. And for, that my friends, were lucky. Suppose we have a survey of two hundred people. One hundred people are men and one
