Why is it important to divide by df to compute sample variance?
A)doing so makes the sample variance an unbiased estimator of the population variance
B)doing so ensures that the value for sample variance varies between 0 and 1
C)doing so minimizes the likelihood that the sample variance will be a negative value
D)it is not important;dividing by df is optional

Question

Quizplus · Accepted Answer

Dividing by df (degrees of freedom) adjusts for the fact that with smaller sample sizes, the calculated variance tends to be higher. By dividing by df, we get a better estimate of the population variance and make the sample variance an unbiased estimator.

Why Is It Important to Divide by Df to Compute