Analysis of discrete data, including 2x2 tables; cross-sectional, prospective, and retrospective studies; measures and tests of association; log linear models; association graphs; and …

discrete measurement involves only integers. The discrete values cannot be subdivided into parts. For example, the number of children in a class is discrete data. You can’t count 1.5 kids. The …

discussed in the next chapter. The two statistical tests which are most commonly used to analyze discrete variables are the chi-square test (including the chi-square test with Yates’ correct.

It’s not always easy to classify the data type of a variable or to decide how it should be analyzed. Continuous and nominal variables are usually straightforward, but discrete quantitative and …

In actuality, calculus begins with rates of change of functions that model discrete data and describe elementary geometric shapes (e.g., lines, parabolas, circles).

In the language of Chapter 6, we note that discrete distributions are much better suited to handle categorical data, in which we sort data into types rather than make measurements, and then …

If 1000 patients were given aspirin, this would reduce the number of heart attack by 8, compared to if all patients had not been given aspirin. The aspirin group is 0.53 times as likely to result in …