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2. Power of a test - Wikipedia

   en.wikipedia.org/wiki/Power_of_a_test

   Power of a test. In statistics, the power of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis ( ) when the alternative hypothesis ( ) is true. It is commonly denoted by , and represents the probability of a true positive detection of an effect or an association between variables, conditional on the ...

3. Sample size determination - Wikipedia

   en.wikipedia.org/wiki/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 study is usually determined ...

4. PS Power and Sample Size - Wikipedia

   en.wikipedia.org/wiki/PS_Power_and_Sample_Size

   The program can generate graphs of the relationships between power, sample size and the detectable alternative hypothesis. It can plot graphs of any two of these variables while holding the third constant. Linear or logarithmic axes may be used and multiple curves can be plotted on each graph. Graphs may be copied and pasted into other ...

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6. Pearson correlation coefficient - Wikipedia

   en.wikipedia.org/wiki/Pearson_correlation...

   Pearson's correlation coefficient, when applied to a population, is commonly represented by the Greek letter ρ (rho) and may be referred to as the population correlation coefficient or the population Pearson correlation coefficient. Given a pair of random variables (for example, Height and Weight), the formula for ρ [10] is [11] where.

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9. G*Power - Wikipedia

   en.wikipedia.org/wiki/G*Power

   G*Power is a free-to use software used to calculate statistical power. The program offers the ability to calculate power for a wide variety of statistical tests including t-tests, F-tests, and chi-square-tests, among others. Additionally, the user must determine which of the many contexts this test is being used, such as a one-way ANOVA versus ...