In This Chapter
◆ Using sampling distributions of the mean and proportion
◆ Working with the central limit theorem
◆ Using the standard error of the mean and proportion
In Chapter 12, we praised the wonders of using samples in our statistical analysis because it was more efficient than measuring an entire population. In this chapter, we’ll discover another benefit of using samples—sampling distributions.
Sampling distributions describe how sample averages behave. You may be surprised to hear they behave very well—even better than the populations from which they are drawn. Good behavior means we can do a pretty good job at predicting future values of sample means with a little bit of information. ...