The above image shows a table with some of the most common test statistics and their corresponding tests or models.
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-value computed from the test statistic. Roughly 100 specialized statistical tests have been defined.[1][2]
^Lewis, Nancy D.; Lewis, Nigel Da Costa; Lewis, N. D. (2013). 100 Statistical Tests in R: What to Choose, how to Easily Calculate, with Over 300 Illustrations and Examples. Heather Hills Press. ISBN 978-1-4840-5299-0.
^Kanji, Gopal K. (18 July 2006). 100 Statistical Tests. SAGE. ISBN 978-1-4462-2250-8.
and 18 Related for: Statistical hypothesis test information
A statisticalhypothesistest is a method of statistical inference used to decide whether the data sufficiently support a particular hypothesis. A statistical...
Teststatistic is a quantity derived from the sample for statisticalhypothesistesting. A hypothesistest is typically specified in terms of a test statistic...
In statisticalhypothesistesting, a result has statistical significance when a result at least as "extreme" would be very infrequent if the null hypothesis...
statistics, the power of a binary hypothesistest is the probability that the test correctly rejects the null hypothesis ( H 0 {\displaystyle H_{0}} ) when...
statistical noise. The statement being tested in a test of statistical significance is called the null hypothesis. The test of significance is designed to assess...
A permutation test (also called re-randomization test or shuffle test) is an exact statisticalhypothesistest making use of the proof by contradiction...
In statisticalhypothesistesting, the alternative hypothesis is one of the proposed proposition in the hypothesistest. In general the goal of hypothesis...
Using a statisticaltest, we reject the null hypothesis if the test is declared significant. We do not reject the null hypothesis if the test is non-significant...
In statisticalhypothesistesting, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example,...
tests are generally unknown,: 138 it has an asymptotic χ2-distribution under the null hypothesis, a fact that can be used to determine statistical significance...
variable. In frequentist statistics statisticalhypothesistesting, data are tested against the null hypothesis that it is normally distributed. In Bayesian...
negative) diagnosis, and in statistical classification as a false positive (or false negative) error. In statisticalhypothesistesting, the analogous concepts...
portmanteau test is a type of statisticalhypothesistest in which the null hypothesis is well specified, but the alternative hypothesis is more loosely...
key point in proper statistical analysis is to test a hypothesis with evidence (data) that was not used in constructing the hypothesis. This is critical...
A location test is a statisticalhypothesistest that compares the location parameter of a statistical population to a given constant, or that compares...
Statisticaltests are used to test the fit between a hypothesis and the data. Choosing the right statisticaltest is not a trivial task. The choice of...
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