Brunner Munzel Test

In statistics, the Brunner Munzel test (also called the generalized Wilcoxon test) is a nonparametric test of the null hypothesis that, for randomly selected values X and Y from two populations, the probability of X being greater than Y is equal to the probability of Y being greater than X. ^[1]

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Table of Contents

1. 11 relations: Exact test, Independence (probability theory), Jamovi, Level of measurement, Mann–Whitney U test, Nonparametric statistics, Null hypothesis, Python (programming language), R (programming language), Statistical hypothesis test, Statistics.

Exact test

An exact (significance) test is a test such that if the null hypothesis is true, then all assumptions made during the derivation of the distribution of the test statistic are met. Brunner Munzel Test and exact test are statistical tests.

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Independence (probability theory)

Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.

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Jamovi

jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests.

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Level of measurement

Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables.

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Mann–Whitney U test

Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric test of the null hypothesis that, for randomly selected values X and Y from two populations, the probability of X being greater than Y is equal to the probability of Y being greater than X. Brunner Munzel Test and Mann–Whitney U test are nonparametric statistics and statistical tests.

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Nonparametric statistics

Nonparametric statistics is a type of statistical analysis that makes minimal assumptions about the underlying distribution of the data being studied.

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Null hypothesis

In scientific research, the null hypothesis (often denoted H0) is the claim that the effect being studied does not exist.

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Python (programming language)

Python is a high-level, general-purpose programming language.

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R (programming language)

R is a programming language for statistical computing and data visualization.

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Statistical hypothesis test

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

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Statistics

Statistics (from German: Statistik, "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.

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References

[1] https://en.wikipedia.org/wiki/Brunner_Munzel_Test

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