A better way to perform your statistics
When using EasyMedStat, all the calculations will be performed automatically, including the p-value and the numeric distributions (mean, standard deviation, …) of each group.
In addition to the automated calculations, you will be provided with two texts to insert directly into your article: one for the methods section and one for the results section describing exactly the result of your test and the statistical methods used.
EasyMedStat automatically checks that your data is appropriate for a Kruskal-Wallis test. If not, it will perform a more appropriate test like Student t-test or a Mann-Whitney U-test.
The Kruskal-Wallis test by rank (also called non-parametric one-way ANOVA) is a test used in clinical research to compare two or more independent groups of patients. It is used in the same context as the Mann-Whitney test, but when there are more than two groups to be compared. For example, it may find whether or not there is a difference in terms of BMI between different groups of patients.
Both tests are used in medical studies to test the numeric distributions of more than two independent groups. However, their calculation methods are very different. Due to its parametric nature, the ANOVA test can not be used in every circumstance. However, when using EasyMedStat, the most appropriate test will be chosen automatically according to your data, so you do not have to worry if you can use this test or not. EasyMedStat does all the work for you.