Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Download
Faster access than browser!
 

Brown–Forsythe test and Mann–Whitney U test

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Brown–Forsythe test and Mann–Whitney U test

Brown–Forsythe test vs. Mann–Whitney U test

The Brown–Forsythe test is a statistical test for the equality of group variances based on performing an ANOVA on a transformation of the response variable. In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric test of the null hypothesis that it is equally likely that a randomly selected value from one sample will be less than or greater than a randomly selected value from a second sample.

Similarities between Brown–Forsythe test and Mann–Whitney U test

Brown–Forsythe test and Mann–Whitney U test have 8 things in common (in Unionpedia): F-test, Median, Power (statistics), Robust statistics, Skewness, Statistical hypothesis testing, Statistics, Variance.

F-test

An F-test is any statistical test in which the test statistic has an ''F''-distribution under the null hypothesis.

Brown–Forsythe test and F-test · F-test and Mann–Whitney U test · See more »

Median

The median is the value separating the higher half of a data sample, a population, or a probability distribution, from the lower half.

Brown–Forsythe test and Median · Mann–Whitney U test and Median · See more »

Power (statistics)

The power of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis (H0) when a specific alternative hypothesis (H1) is true.

Brown–Forsythe test and Power (statistics) · Mann–Whitney U test and Power (statistics) · See more »

Robust statistics

Robust statistics are statistics with good performance for data drawn from a wide range of probability distributions, especially for distributions that are not normal.

Brown–Forsythe test and Robust statistics · Mann–Whitney U test and Robust statistics · See more »

Skewness

In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.

Brown–Forsythe test and Skewness · Mann–Whitney U test and Skewness · See more »

Statistical hypothesis testing

A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.

Brown–Forsythe test and Statistical hypothesis testing · Mann–Whitney U test and Statistical hypothesis testing · See more »

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

Brown–Forsythe test and Statistics · Mann–Whitney U test and Statistics · See more »

Variance

In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.

Brown–Forsythe test and Variance · Mann–Whitney U test and Variance · See more »

The list above answers the following questions

Brown–Forsythe test and Mann–Whitney U test Comparison

Brown–Forsythe test has 21 relations, while Mann–Whitney U test has 65. As they have in common 8, the Jaccard index is 9.30% = 8 / (21 + 65).

References

This article shows the relationship between Brown–Forsythe test and Mann–Whitney U test. To access each article from which the information was extracted, please visit:

Hey! We are on Facebook now! »