An unbiased estimator is one for which: Group of answer choices its value always equals the value of the parameter it estimates.
its standard deviation always decreases as the sample size increases. its sampling distribution is Normal. its average value is equal to the parameter it estimates.
its sampling distribution is centered exactly at the parameter it estimates.
Step-by-step explanation:
An unbiased estimator is an estimator that shows the correct statistic applied for the parameter of the population
Here correct represents that it should not be overestimated or underestimated. In the case when there is an underestimate or overestimate this means that there is a bias
So as per the given options the above option is correct
