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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  3. Scheffé's method - Wikipedia

    en.wikipedia.org/wiki/Scheffé's_method

    is the size of the sample taken from the th population (the one whose mean is ), and σ ^ e 2 {\displaystyle {\hat {\sigma }}_{e}^{2}} is the estimated variance of the errors . It can be shown that the probability is 1 − α {\textstyle 1-\alpha } that all confidence limits of the type

  4. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    The effective sample size, defined by Kish in 1965, is calculated by dividing the original sample size by the design effect. [1]: 162, 259 ...

  5. Asymptotic theory (statistics) - Wikipedia

    en.wikipedia.org/wiki/Asymptotic_theory_(statistics)

    In statistics, asymptotic theory, or large sample theory, is a framework for assessing properties of estimators and statistical tests. Within this framework, it is often assumed that the sample size n may grow indefinitely; the properties of estimators and tests are then evaluated under the limit of n → ∞ .

  6. Probability-proportional-to-size sampling - Wikipedia

    en.wikipedia.org/wiki/Probability-proportional...

    The pps sampling results in a fixed sample size n (as opposed to Poisson sampling which is similar but results in a random sample size with expectancy of n). When selecting items with replacement the selection procedure is to just draw one item at a time (like getting n draws from a multinomial distribution with N elements, each with their own ...

  7. Permutation test - Wikipedia

    en.wikipedia.org/wiki/Permutation_test

    Let and be the sample size collected from each group. The permutation test is designed to determine whether the observed difference between the sample means is large enough to reject, at some significance level, the null hypothesis H 0 {\displaystyle _{0}} that the data drawn from A {\displaystyle A} is from the same distribution as the data ...

  8. The Cheap Seats: When fantasy baseball managers should ... - AOL

    www.aol.com/sports/cheap-seats-cutting-small-mlb...

    The Cheap Seats: When fantasy baseball managers should buy high, cutting through small sample sizes and more. Scott Pianowski. April 9, 2024 at 7:38 PM.

  9. Sampling fraction - Wikipedia

    en.wikipedia.org/wiki/Sampling_fraction

    In sampling theory, the sampling fraction is the ratio of sample size to population size or, in the context of stratified sampling, the ratio of the sample size to the size of the stratum. [1] The formula for the sampling fraction is =, where n is the sample size and N is the population size. A sampling fraction value close to 1 will occur if ...