Assuming N $\neq$ n and all data are otherwise the same,how will the value of the sample variance be different from the population variance?
A) The sample variance will always be a smaller value than the population variance.
B) The sample variance will always be a larger value than the population variance.
C) The sample variance, but not the population variance, can be zero.
D) The sample variance, but not the population variance, can be negative.

Question

Quizplus · Accepted Answer

The sample variance is often larger than the population variance because it is calculated with a denominator (n-1) instead of n, to correct for the bias in estimating a population parameter from a sample. This adjustment, known as Bessel's correction, tends to give a slightly larger value for variance when calculated from a sample.

Assuming N ≠\neq= N and All Data Are Otherwise the Same,how Will the Same,how

Assuming N $\neq$ N and All Data Are Otherwise the Same,how Will the Same,how