Question: The variance of a sampling distribution is the same as the variance in the original population or larger than the variance within the sample or

The variance of a sampling distribution is

the same as the variance in the original population

or

larger than the variance within the sample

or

larger than the variance in the original population

or

smaller than the variance in the original population

A sampling distribution is constructed based on a sample size of 9.If the sampling distribution has a mean of 500 and a standard error of 10,what is the standard deviation of the original comparison population?

3.33

90

30

10

For a hypothesis test,the researcher has collected data from a sample of 100people.The comparison population has a mean of 85 and a standard deviation of 20. What are the mean and standard deviation (also called the standard error)of the sampling distribution with which the sample mean will be compared to?

Mean=85;standard error=20

Mean=85;standard error=unknown

Mean=85;Standard error=2

Mean=unknown;standard error=2

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