The term random sampling refers to a sampling procedure where every member in the population has a chance of being selected. The objective of the sampling procedure is to ensure that the final sample to be measured is representative of the population from which it was taken. If this is not the case, then we have a biased sample, which can lead to misleading results. If you recall, we discussed an example of a biased sample back in Chapter 1 with the golf course survey. The selection of a proper sample is critical to the accuracy of the statistical analysis.
Since you can select a random sample in several ways, I’ll use the following example to demonstrate these techniques.
Random sampling refers to a ...