Which of the following is TRUE?
A)An example of an unbiased estimate is the variance of a sample; a typical biased estimate is the researcher's initial expectation prior to sampling.
B)There is only one biased estimate (i.e., the researcher's expected findings); there are several unbiased estimates.
C)A biased estimate is preferred to an unbiased estimate when the population is not normally distributed.
D)A sample's variance is a biased estimate of the population's variance, but a slight change in the variance formula gives an unbiased estimate.

Question

Quizplus · Accepted Answer

A sample's variance is a biased estimate of the population's variance, but a slight change in the variance formula gives an unbiased estimate. This is because the sample variance formula divides by n instead of n-1, which leads to a biased estimate. However, dividing by n-1 instead of n gives an unbiased estimate.

Which of the Following Is TRUE