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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. Design effect - Wikipedia

   en.wikipedia.org/wiki/Design_effect

   In survey research, the design effect is a number that shows ... a single formula. In a 1995 paper ... on some sampling design, be 2. If the sample size is 1,000 ...

4. Sampling (statistics) - Wikipedia

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

   Sampling (statistics) In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole population and statisticians ...

5. Completely randomized design - Wikipedia

   en.wikipedia.org/wiki/Completely_randomized_design

   In the design of experiments, completely randomized designs are for studying the effects of one primary factor without the need to take other nuisance variables into account. This article describes completely randomized designs that have one primary factor. The experiment compares the values of a response variable based on the different levels ...

6. Power (statistics) - Wikipedia

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

   Power (statistics) In frequentist statistics, power is a measure of the ability of an experimental design and hypothesis testing setup to detect a particular effect if it is truly present. In typical use, it is a function of the test used (including the desired level of statistical significance), the assumed distribution of the test (for ...

7. 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 ...

8. Bayesian information criterion - Wikipedia

   en.wikipedia.org/wiki/Bayesian_information_criterion

   v. t. e. In statistics, the Bayesian information criterion (BIC) or Schwarz information criterion (also SIC, SBC, SBIC) is a criterion for model selection among a finite set of models; models with lower BIC are generally preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC).

9. Student's t-test - Wikipedia

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

   Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It is any statistical hypothesis test in which the test statistic follows a Student's t -distribution under the null hypothesis. It is most commonly applied when the test statistic would follow a ...