SAMPLING DISTRIBUTIONS
Examples of statistics: median of a sample, mean of a sample , variance of a sample , standard deviation of a sample s . Since the population is what we really care about we really would like to know parameters. But in nearly every case we have to settle for data from a sample … ................
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