Explanation:
The mean of a sampling distribution is equal to the mean of the population from which the samples are drawn. Therefore, the mean of the sampling distribution is also 23,844 mm.
The standard deviation of a sampling distribution can be calculated using the formula:
σ/√n
where σ is the standard deviation of the population and n is the sample size.
Substituting the given values, we get:
σ/√n = 8,316/√20 = 1,859.83
Therefore, the standard deviation of the sampling distribution is approximately 1,859.83 mm.