Sample Size and Statistical Theory

Sample Size and Statistical Theory


A practical question in much of marketing research involves the determination of sample size. A survey cannot be planned or implemented without knowing the sample size. Further, the sample-size decision is related directly to research cost and therefore must be justified.
In the previous chapter, several practical approaches to obtaining sample size were presented. These approaches are extremely sensible, will lead to reasonable sample-size decisions, and in fact are used often in marketing research. There is, however, a formal approach to determining sample size using statistical theory. It is useful to understand this formal approach— the subject of this chapter—for several reasons. First, in some contexts it can be applied directly to make more precise sample-size decisions. Second, it can provide worthwhile guidance even when it may not be easy to apply the statistical theory. Finally, the discussion serves to introduce some important concepts and terms of sampling that, together, will generate a deeper understanding of the process. Among these terms and concepts are population characteristics, sample characteristics, sample reliability, and interval estimation. Each of them will be introduced, and then the sample-size question will be considered.

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