Categories and Population Proportions
Chapters 7, 8, and 9 dealt with making inferences about a population on the basis of a sample when the observation of interest was a measurement whose mean in the population we wished to know. In Chapter 6 we discussed a different kind of observation, one based on categories rather than measurements. If the observation of interest involves a set of categories rather than a measurement, it of course makes no sense to think in terms of the center of a batch or its spread. Rather, we approach the batch in terms of proportions. When we observe categories in a sample, then, our basic thought about the population from which the sample was selected concerns the proportions of the different categories in the population, not the mean of anything.
KeywordsConfidence Level Error Range Finite Population Population Proportion Population Means
Unable to display preview. Download preview PDF.