Suppose you have a statistic such that, as the sample size becomes larger, the probability that the statistic comes closer to the parameter it estimates does not increase. This statistic is estimator.
A)not a consistent
B)a biased
C)an unbiased
D)a consistent

Question

Quizplus · Accepted Answer

This indicates that the estimator is not consistent. Consistency means that as the sample size increases, the estimator converges to the true population parameter. If the probability of coming closer to the parameter does not increase as sample size increases, then the estimator is not consistent.

Suppose You Have a Statistic Such That, as the Sample