on theory tells us that (choose all that apply) - that's as long as the sample size is greater than 10 the distribution of the sample means is about normal - the mean and the standard deviations of the population are the same as that for the samples - the mean of the population is the same as that for the samples means -the standard deviation of the sample means must be adjusted by dividing sigma by SQRT(N) -the standard deviation of the sample means mus
Sampling distribution theory tells us that (choose all that apply)
- that's as long as the
- the
- the mean of the population is the same as that for the samples means
-the standard deviation of the sample means must be adjusted by dividing sigma by SQRT(N)
-the standard deviation of the sample means must be calculated as SQRT[p(1-p)/N)]
The sampling distribution of a statistic is known as the probability distribution of all the possible values taken by the statistic which can be selected from the specific population.
The mean and standard deviation of the sampling distribution of the sample mean is equal to μXˉ and respectively.
Where,
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