| 1. | Chi-squared tests are often constructed from a sample variance.
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| 2. | This formula is also sometimes used in connection with the sample variance.
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| 3. | Important examples include the sample variance and sample standard deviation.
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| 4. | The following estimate only replaces the population variances by the sample variances:
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| 5. | If the sample mean and uncorrected sample variance are defined as
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| 6. | Correcting for this bias yields the " unbiased sample variance ":
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| 7. | Is the sample variance estimate of \ sigma ^ 2 ( x ).
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| 8. | This property ( independence of sample mean and sample variance ) characterizes normal distributions.
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| 9. | The expected value of the sample variance is
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| 10. | As a side note, other approaches have been described to compute the weighted sample variance.
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