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A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.
Researchers use the simple random sample methodology to choose a subset of individuals from a larger population. While easier to implement than other methods, it can be costly and time-consuming.
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Random Sampling: Key to Reducing Bias and Increasing Accuracy
The Ways of Conducting Random Sampling Are as Follows: Simple random sampling – In this sampling method, each item in the population has an equal probability of getting selected in the sample.
The METHOD=SRS option specifies simple random sampling as the sample selection method. In simple random sampling, each unit has an equal probability of selection, and sampling is without replacement.
Simple random sampling is the foundation for almost every method taught in introductory statistics classes. Many students, however, have difficulty understanding the difference between simple random ...
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