If the distribution of sample and population changes then the mean of Sampling distribution must be equal to ________
A. standard deviation of population
B. variance of population
C. sample of population
D. mean of population
Answer:D
If the distribution of sample and population changes then the mean of Sampling distribution must be equal to ________
A. standard deviation of population B. variance of population C. sample of population D. mean of population
Explanation: In a sampling distribution irrespective of the variation in sample and population the mean of the population is equal to the mean of the sampling distribution. If repeated random samples of a given size n are taken from a population of values for a quantitative variable, where the population mean is μ and the population standard deviation is σ (sigma) then the mean of all sample means (x-bars) is population mean μ.