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