Measuring Association in Contingency Tables

In Chapter 1, at the very beginning of the book, we were concerned with the idea of association . Is the presence of rain associated with the presence of clouds, and conversely, is the absence of rain associated with the absence of cloudy conditions? In Chapter 6, we continued the development of this idea with more refined contingency tables. Specifically, association means that being in a specific category of one variable (rainy, in the variable presence of rainfall) is associated with being in a specific category of the other variable (cloudy, in the variable sky conditions). So far, we have a good idea of what constitutes a perfect relationship (always, when we have rain, we have clouds, and always, when we have no rain, we have no clouds). But, of course, that relationship is not really perfect in that sometimes we have no rain, but the sky is nevertheless We ...

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