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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. Fatigue testing - Wikipedia

   en.wikipedia.org/wiki/Fatigue_testing

   Each 16 hour flight took 11 minutes to simulate on the fatigue test rig. [1] Fatigue testing is a specialised form of mechanical testing that is performed by applying cyclic loading to a coupon or structure. These tests are used either to generate fatigue life and crack growth data, identify critical locations or demonstrate the safety of a ...

4. 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 ...

5. Logrank test - Wikipedia

   en.wikipedia.org/wiki/Logrank_test

   Logrank test. The logrank test, or log-rank test, is a hypothesis test to compare the survival distributions of two samples. It is a nonparametric test and appropriate to use when the data are right skewed and censored (technically, the censoring must be non-informative). It is widely used in clinical trials to establish the efficacy of a new ...

6. 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 ...

7. Statistical hypothesis test - Wikipedia

   en.wikipedia.org/wiki/Statistical_hypothesis_test

   A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently support a particular hypothesis. A statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to a critical value or equivalently by evaluating a p ...

8. Likelihood-ratio test - Wikipedia

   en.wikipedia.org/wiki/Likelihood-ratio_test

   The likelihood-ratio test, also known as Wilks test, [2] is the oldest of the three classical approaches to hypothesis testing, together with the Lagrange multiplier test and the Wald test. [3] In fact, the latter two can be conceptualized as approximations to the likelihood-ratio test, and are asymptotically equivalent.

9. One- and two-tailed tests - Wikipedia

   en.wikipedia.org/wiki/One-_and_two-tailed_tests

   A two-tailed test applied to the normal distribution. A one-tailed test, showing the p -value as the size of one tail. In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic.