Rank von Neumann Test


Description:


The Rank Von Neumann test is a non-parametric statistical procedure to determine if a consecutive series of sample measurements is statistically independent. Statistical independence of sample measurements is a prerequisite for the use of the ANOVA statistical methods, including t-tests, parametric ANOVA, Kruskal-Wallis, and Wilcoxon.

ChemStat implements the rank von Neumann test for a single well and single parameter at the 99% confidence level.


Remarks:


Although non-parametric, this test is suitable for both normal and non-normally distributed data. Because the test is performed on the ranks of the data, log-transformation does not change the result of the test.