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Introduction to the Wilcoxon Mann Whitney test & Nonparametric statistics

The Mann Whitney U Test is one of the various tests used in the nonparametric statistics and it allows the data analysts to different conclusions based on non-distributive data. The nonparametric statistics is one of the branches of statistics which does not depend on exclusively probability distributions. The Mann Whitney U test is used for analyzing ratio scale, descriptive statistics, statistical inference, interval variables, etc. The concepts of this subject form the basis of advanced statistics and for most students, it is very difficult to comprehend and learn but with our Mann Whitney U Test assignment help service, you will never have to worry again about any assignment topic that is assigned to you by your faculties.

We are working for many years and have covered a lot of topics under our Mann Whitney U Test statistics assignment help service however here we are providing a list of those topics on which we get frequent requests for creating homework solutions.

  • Kruskal-Wallis one-way analysis
  • Wilcoxon rank sum test
  • Kernel density estimation
  • Wilcoxon signed-rank test
  • Nonparametric regression
  • Wald-Wolfowitz runs test
  • Semiparametric regression
  • Kolmogorov-Smirnov test
  • Tukey-Duckworth test
  • Data envelopment analysis
  • Squared ranks test
  • Analysis of similarities
  • Spearman's rank correlation coefficient
  • Anderson-Darling test
  • Sign test
  • Cochran's Q
  • Siegel-Tukey test
  • Cohen's kappa
  • Kuiper's test
  • Rank products
  • Rank-biserial correlation
  • Friedman two-way analysis
  • Pitman's permutation test
  • Kaplan-Meier
  • Median test
  • Kendall's tau
  • McNemar's test
  • Kendall's W
  • Logrank test

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