Random selection is a process used to ensure that every individual in a population has an equal chance of being chosen for a sample. This technique helps to minimize bias and enhances the representativeness of the sample, which is crucial for making valid inferences about the larger population. Random selection is particularly important in sampling methods, such as cluster sampling and systematic sampling, where it contributes to the overall integrity and reliability of the results.
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