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
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
