d1 is not an unbiased estimator of μ because it is a single observation from the distribution. The sample mean d2 is an unbiased estimator of μ because as the sample size increases, the average gets closer to the true population mean. d2 will have a smaller variance than d1 because the variance of the mean decreases as more observations are added, making d2 a more precise estimator of the population mean.