31. Also let, and denote, respectively, the sample means of the, the, and the. 32. This percentage quickly increased to 82 % several hours later, 11 times higher than the sample mean . 33. Let \ overline { X } and S ^ 2 be the sample mean and the sample variance. 34. Where s ^ 2 is the sample variance and \ bar { H } is the sample mean . 35. I'm curious though about how the sample mean changes as you increase the number of observations. 36. The distribution of both the sample mean and the sample median were determined by Laplace in the early 1800s. 37. It is especially useful for discrete data over an unbounded positive range whose sample variance exceeds the sample mean . 38. The maximum likelihood estimator only exists for samples for which the sample variance is larger than the sample mean . 39. Because of this the usual sample mean ( arithmetic mean ) is a biased estimator of the true mean. 40. The Hodges Lehmann estimator is much better than the sample mean when estimating mixtures of normal distributions, also.
