SAMPLING AND SAMPLING DISTRIBUTIONS

A population is defined as all possible outcomes or measurements of interest, whereas a sample is a subset of a population. Many populations are infinitely large; thus, virtually all statistical analyses are conducted on samples drawn from a population. In order to interpret the results of these analyses correctly, you must first understand the behavior of samples. In this chapter, you will do just that through the exploration of sampling distributions.

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