Sampling Distribution of Sample Statistics
Sampling
A sample is a subset of population that is collected in a variety of ways. The process of collecting samples is called sampling. As will become evident in this chapter, random sampling is very important for establishing the necessary theories for statistical analysis. For example, if a firm has 500 employees and 300 of them are men, then the probability of choosing a male worker at random is 300/500 = 0.60 or 60%. Sampling techniques are not limited to random sampling. Each sampling technique has its advantages and disadvantages. This text is not going to focus on various sampling techniques. After a brief discussion about sampling, the focus will be on the properties and advantages ...
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