Maximizing Statistical Accuracy: Importance Of Random Sampling And Optimal Sample Size

Define sample:

is a sub collection of members selected from a population.

In statistics, a sample is a subset of a population that is selected to represent the entire group. Samples are used because it is often impractical or impossible to measure data on every member of the population. Therefore, a smaller sample is taken to make inferences or draw conclusions about the population. The sample should ideally be selected randomly to ensure that it is a fair representation of the whole population. A proper sample size should be determined to minimize errors that may arise due to using a small or biased sample.

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