| 11. | Density of the sample mean of three chi2 variables.
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| 12. | This represents an " empirical bootstrap distribution " of sample mean.
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| 13. | The distribution of the sample mean for the uniform distribution is given by:
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| 14. | Each sample in Population 2 produces a sample mean.
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| 15. | Sampling means making projections from a smaller database.
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| 16. | A statistician computes the sample mean and a confidence interval for the true mean.
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| 17. | The sample mean may differ from the population mean, especially for small samples.
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| 18. | This property ( independence of sample mean and sample variance ) characterizes normal distributions.
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| 19. | The sample mean is thus more efficient than the sample median in this example.
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| 20. | The totality of all such sample means constitutes " Population 3 ".
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