Sampling Distribution of Sample Statistics


Samples, which are subsets of a population, can be collected in a variety of ways. As will become evident in this chapter, random sampling is important for establishing the necessary foundation for statistical analysis. However, sampling techniques are not limited to random sampling. Sampling theory establishes the customary properties of statistics for each non-random sample. Although each sampling technique has its advantages and disadvantages, the present text will not focus on various sampling techniques. After a brief discussion about sampling, the attention will be focused on the properties and advantages of random sampling. Theories that are necessary for performing statistical ...

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