SAMPLING AND SAMPLING DISTRIBUTIONS
Working with a subset of a population
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.
This chapter relies heavily on the normal probability distribution concepts introduced in Chapter 7. The two major topics are the sampling distribution of the mean and the sampling distribution of the proportion. ...