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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination. Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a ...

  3. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Fisher's exact test is a statistical significance test used in the analysis of contingency tables. [1] [2] [3] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes. It is named after its inventor, Ronald Fisher, and is one of a class of exact tests, so called because the significance of the deviation ...

  4. Standard error - Wikipedia

    en.wikipedia.org/wiki/Standard_error

    This approximate formula is for moderate to large sample sizes; the reference gives the exact formulas for any sample size, and can be applied to heavily autocorrelated time series like Wall Street stock quotes.

  5. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    where p is the total number of explanatory variables in the model, and n is the sample size. The adjusted R 2 can be negative, and its value will always be less than or equal to that of R 2 . Unlike R 2 , the adjusted R 2 increases only when the increase in R 2 (due to the inclusion of a new explanatory variable) is more than one would expect ...

  6. Coefficient of variation - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_variation

    The coefficient of variation (CV) is defined as the ratio of the standard deviation to the mean , [1] It shows the extent of variability in relation to the mean of the population. The coefficient of variation should be computed only for data measured on scales that have a meaningful zero ( ratio scale) and hence allow relative comparison of two ...

  7. Student's t-test - Wikipedia

    en.wikipedia.org/wiki/Student's_t-test

    For significance testing, the degrees of freedom for this test is 2n − 2, where n is sample size. Equal or unequal sample sizes, similar variances (1 / 2 < s X 1 / s X 2 < 2) This test is used only when it can be assumed that the two distributions have the same variance (when this assumption is violated, see below).

  8. Cohen's h - Wikipedia

    en.wikipedia.org/wiki/Cohen's_h

    h. In statistics, Cohen's h, popularized by Jacob Cohen, is a measure of distance between two proportions or probabilities. Cohen's h has several related uses: It can be used to describe the difference between two proportions as "small", "medium", or "large". It can be used to determine if the difference between two proportions is "meaningful".

  9. Particle size analysis - Wikipedia

    en.wikipedia.org/wiki/Particle_size_analysis

    Particle size analysis, particle size measurement, or simply particle sizing, is the collective name of the technical procedures, or laboratory techniques which determines the size range, and/or the average, or mean size of the particles in a powder or liquid sample . Particle size analysis is part of particle science, and it is generally ...