Explain the purpose of inferential statistics and how samples and populations are utilized to fulfill this purpose explain how a sample is chosen, and why it is chosen in this manner.

Inferential statistics lets you draw conclusions about populations by using small samples. Consequently, inferential statistics provide enormous benefits because typically you can’t measure an entire population. Sampling distributions are important for inferential statistics. In practice, one will collect sample data and, from these data, estimate parameters of the population distribution. Thus, knowledge of the sampling distribution can be very useful in making inferences about the overall population.

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