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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Learn how to choose the number of observations or replicates to include in a statistical sample. Find out the factors that affect sample size, such as confidence level, margin of error, and variability, and see examples of sample size formulas for different scenarios.

  3. Standard error - Wikipedia

    en.wikipedia.org/wiki/Standard_error

    Learn how to calculate the standard error of a statistic, such as the mean, from a sample. Find out the factors that affect the standard error, such as sample size ...

  4. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Learn about Fisher's exact test, a statistical significance test for contingency tables. Find out how to calculate the test statistic, the p-value, and the sample size for a 2 x 2 table.

  5. Central limit theorem - Wikipedia

    en.wikipedia.org/wiki/Central_limit_theorem

    The central limit theorem (CLT) is a probability theory that states that the distribution of a normalized sample mean converges to a normal distribution. The CLT has several variants and applications in statistics and mathematics.

  6. Margin of error - Wikipedia

    en.wikipedia.org/wiki/Margin_of_error

    Learn how to calculate and interpret the margin of error in surveys and polls. Find out how sample size, confidence level, standard deviation, and population size ...

  7. Cohen's h - Wikipedia

    en.wikipedia.org/wiki/Cohen's_h

    It can be used in calculating the sample size for a future study. When measuring differences between proportions, Cohen's h can be used in conjunction with hypothesis testing . A " statistically significant " difference between two proportions is understood to mean that, given the data, it is likely that there is a difference in the population ...

  8. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    The sample size is constant Humans must perform the calculations for the chart As with the x ¯ {\displaystyle {\bar {x}}} and s and individuals control charts , the x ¯ {\displaystyle {\bar {x}}} chart is only valid if the within-sample variability is constant. [ 4 ]

  9. Bessel's correction - Wikipedia

    en.wikipedia.org/wiki/Bessel's_correction

    Bessel's correction is the use of n − 1 instead of n in the formula for the sample variance and standard deviation. It corrects the bias in the estimation of the population variance, but not the standard deviation.