One population parameter that is of particular interest to the behavioral scientist is the mean µ of a population. In this chapter, we will discuss two approaches to statistical inference involving the mean of a population: interval estimation and hypothesis testing. Although these approaches are both carried out using samples and they give essentially equivalent results, there is a basic difference between them and it is important to know what this difference is.
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