randomized significance tests
Look at other dictionaries:
Statistical 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… … Wikipedia
statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… … Universalium
Statistical 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… … Wikipedia
Homeopathy — Homeopathy: coined in German from Greek hómoios ὅμοιος like + páthos πάθος suffering Oxford English Dictionary … Wikipedia
P-value — In statistical significance testing, the p value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. One often rejects the null hypothesis when the … Wikipedia
Data dredging — (data fishing, data snooping) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data. Data snooping bias is a form of statistical bias that arises from this misuse of statistics. Any… … Wikipedia
Confidence interval — This article is about the confidence interval. For Confidence distribution, see Confidence Distribution. In statistics, a confidence interval (CI) is a particular kind of interval estimate of a population parameter and is used to indicate the… … Wikipedia
Mann–Whitney U — In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW) or Wilcoxon rank sum test) is a non parametric statistical hypothesis test for assessing whether one of two samples of independent observations tends to have… … Wikipedia
Structural equation modeling — (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This definition of SEM was articulated by the geneticist Sewall Wright (1921),[1] the… … Wikipedia
Multiple comparisons — In statistics, the multiple comparisons or multiple testing problem occurs when one considers a set of statistical inferences simultaneously.[1] Errors in inference, including confidence intervals that fail to include their corresponding… … Wikipedia
Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… … Wikipedia
