Statistical tests are used to test the fit between a hypothesis and the data. Choosing the right statistical test is not a trivial task. The choice of...

A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently support a particular hypothesis. A statistical...

is an alphabetized and categorized list of notable tests. Cattell Culture Fair Kohs block Woodcock–Johnson Tests of Cognitive Abilities Multidimensional...

conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as...

generalized statistical software with data mining algorithms and methods for data management ADMB – a software suite for non-linear statistical modeling...

analysis Statistic STATISTICA – software Statistical arbitrage Statistical assembly Statistical assumption Statistical benchmarking Statistical classification...

the 1969 first edition of The Art of Computer Programming by Donald Knuth (Volume 2, Chapter 3.3: Statistical tests). Knuth's tests were then supplanted...

affect our ability to conduct valid statistical tests. First, the F-statistic to test for overall significance of the regression may be inflated under...

BHEP test). The energy and the ECF tests are powerful tests that apply for testing univariate or multivariate normality and are statistically consistent...

the sample size grows to infinity, as with many statistical tests. Fisher is said to have devised the test following a comment from Muriel Bristol, who claimed...

on statistical tests, transforms, and complexity or a mixture of these. A well-known and widely used collection of tests was the Diehard Battery of Tests...

nature of the test statistic and the hypotheses of interest about its distribution, different null hypothesis tests have been developed. Some such tests are...

Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery"...

All statistical hypothesis tests and all statistical estimators are derived via statistical models. More generally, statistical models are part of the...

permutation tests characterize tests with maximum power against all alternative hypotheses, as observed by Rosenbaum. The ANOVA F-test (of the null-hypothesis...

A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution...

of X being greater than Y is equal to the probability of Y being greater than X. Nonparametric tests used on two dependent samples are the sign test and...

In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example,...

In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the score—evaluated...

The Torrance Tests of Creative Thinking, formerly the Minnesota Tests of Creative Thinking, is a test of creativity built on J. P. Guilford's work and...

pairs of groups stochastic dominance obtains. For analyzing the specific sample pairs for stochastic dominance, Dunn's test, pairwise Mann–Whitney tests with...

applications of statistics. The theory covers approaches to statistical-decision problems and to statistical inference, and the actions and deductions that satisfy...

Sequential probability ratio test CUSUM Wald, Abraham (June 1945). "Sequential Tests of Statistical Hypotheses". The Annals of Mathematical Statistics. 16...

The sign test is a statistical method to test for consistent differences between pairs of observations, such as the weight of subjects before and after...

probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables...

samples are from populations with equal variances. Some statistical tests, such as the analysis of variance, assume that variances are equal across groups...

statistical assembly. Many statistical analyses use quantitative data that have units of measurement. This is a distinct and non-overlapping use of the...

are a large number of statistical tests that can be used in a two-sample test. Which one(s) are appropriate depend on a variety of factors, such as: Which...

signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based on a sample of data...

Weisberg in 1983 (Cook–Weisberg test). Derived from the Lagrange multiplier test principle, it tests whether the variance of the errors from a regression...