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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.
Learn how simple random sampling works and what advantages it offers over other methods when selecting a research group from a larger population.
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Simple Random Sampling: Definition, Advantages, and Disadvantages
Researchers choose simple random sampling to make generalizations about a population. Major advantages include its simplicity and lack of bias.
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Random Sampling: Key to Reducing Bias and Increasing Accuracy
Simple random sampling – In this sampling method, each item in the population has an equal probability of getting selected in the sample. First, you must assign a unique identifier to each item.
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