statistical power
1Statistical power — The power of a statistical test is the probability that the test will reject a false null hypothesis (that it will not make a Type II error). As power increases, the chances of a Type II error decrease. The probability of a Type II error is… …
2statistical power — noun The probability that a statistical test will reject a false null hypothesis, that is, that it will not make a type II error, producing a false negative …
3Power — may refer to*any ability to effect change;political or social * Power (philosophy) ** Political power, power held by a person or group in a country s political system ** Reserve power, a power exercised by a head of state in certain exceptional… …
4Power — (englisch für Kraft, Macht, Energie) oder Teststärke beschreibt in der Statistik die Aussagekraft eines statistischen Tests. Die Teststärke gibt an, mit welcher Wahrscheinlichkeit ein Signifikanztest zugunsten einer spezifischen… …
5Power function — may refer to:* Statistical power * Monomial * Power functions: A function of the form f(x)=x^{a} ! where a is a real number, also known as allometric functions. See exponentiation …
6Statistical hypothesis testing — This article is about frequentist hypothesis testing which is taught in introductory statistics. For Bayesian hypothesis testing, see Bayesian inference. A statistical hypothesis test is a method of making decisions using data, whether from a… …
7Power law — A power law is any polynomial relationship that exhibits the property of scale invariance. The most common power laws relate two variables and have the form:f(x) = ax^k! +o(x^k),where a and k are constants, and o(x^k) is of x. Here, k is… …
8Statistical significance — In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. A statistically significant difference simply means there is statistical evidence that there is a difference; it does not mean the… …
9Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …
10Statistical dispersion — In statistics, statistical dispersion (also called statistical variability or variation) is variability or spread in a variable or a probability distribution. Common examples of measures of statistical dispersion are the variance, standard… …
