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How does the variance of the sample mean compare to the variance of the population?

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Answer:

The variance of the sampling distribution of the mean is the population variance divided by N, the sample size

Step-by-step explanation: The variance of the sampling distribution of the mean is the population variance divided by N, the sample size (the number of scores used to compute a mean)

Population variance refers to the value of variance that is calculated from population data, and sample variance is the variance calculated from sample data. As a result both variance and standard deviation derived from sample data are more than those found out from population data

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