Unbiased but inconsistent estimator Assume  a random sample X1, ..., Xn with a normal distribution with mean μ and variance σ2.  How do we know the following estimator is unbiased, but inconsistent?
When an estimator is consistent, the sampling distribution of the estimator converges to the true parameter value being estimated as the sample size increases.