How does the variance of the sample mean compare to the variance of the population?

The variance of the  sampling  distribution of the mean is the population variance divided by N, the sample size

Step-by-step explanation: The variance of the  sampling  distribution of the mean is the population variance divided by N, the sample size (the number of scores used to compute a mean)

Population variance refers to the value of variance that is calculated from population data, and sample variance is the variance calculated from sample data. As a result both variance and standard deviation derived from sample data are more than those found out from population data

the answer is simply just 6n add the two together as they have an n