Mann-Whitney U . 4.5 / 5 based on 3 ratings? Created by: Sofalof; Created on: 24-04-15 18:06; Mann-Whitney U . Advantages . States whether the difference is significant or occurred by chance; Shows the median between 2 sets of data … Good with dealing with skewed data so data doesn’t need to be normally distrubuted; Disadvantages . Lengthy …
Mann-Whitney . Advantages: This is a class of tests that do not require any assumptions on the distribution of the population. They are therefore used when you do not know, and are not willing to assume, what the shape of the distribution is.
When normality holds, the Mann–Whitney U test has an (asymptotic) efficiency of 3/ ? or about 0.95 when compared to the t-test. For distributions sufficiently far from normal and for sufficiently large sample sizes, the Mann–Whitney U test is considerably more efficient than the t.
The Mann ? Whitney U test initially implies the calculation of a U statistic for each group. These statistics have a known distribution under the null hypothesis identified by Mann and Whitney (1947) (see Tables 3 to 8). Mathematically, the Mann ? Whitney U statistics are, Mann Whitney U Test Advantages 1) 2 sets of data don’t require same number of observations 2) Statistically evaluates whether the difference between 2 data sets is significant – accept or reject alternate hypotheses; and extent of trust, 3/13/2008 · What are the disadvantages of the Mann-Whitney u-test? When compared to the t-test? Slightly less power at the normal, moderately less power against location-shift alternatives for light-tailed distributions. It’s a more general location test than what the t-test looks at.
Advantages of Mann Whitney – U test Good with dealing with skewed data, therefore doesn’t need to be nominally distributed States whether difference is significant
