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# Kendall rank correlation coefficient and Kendall's W

## Difference between Kendall rank correlation coefficient and Kendall's W

### Kendall rank correlation coefficient vs. Kendall's W

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities. Kendall's W (also known as Kendall's coefficient of concordance) is a non-parametric statistic.

## Similarities between Kendall rank correlation coefficient and Kendall's W

Kendall rank correlation coefficient and Kendall's W have 5 things in common (in Unionpedia): Maurice Kendall, Nonparametric statistics, Normal distribution, Spearman's rank correlation coefficient, Statistical hypothesis testing.

### Maurice Kendall

Sir Maurice George Kendall, FBA (6 September 1907 – 29 March 1983) was a British statistician, widely known for his contribution to statistics.

### Nonparametric statistics

Nonparametric statistics is the branch of statistics that is not based solely on parameterized families of probability distributions (common examples of parameters are the mean and variance).

### Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

### Spearman's rank correlation coefficient

In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter \rho (rho) or as r_s, is a nonparametric measure of rank correlation (statistical dependence between the rankings of two variables).

### 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.

### The list above answers the following questions

• What Kendall rank correlation coefficient and Kendall's W have in common
• What are the similarities between Kendall rank correlation coefficient and Kendall's W

## Kendall rank correlation coefficient and Kendall's W Comparison

Kendall rank correlation coefficient has 29 relations, while Kendall's W has 12. As they have in common 5, the Jaccard index is 12.20% = 5 / (29 + 12).

## References

This article shows the relationship between Kendall rank correlation coefficient and Kendall's W. To access each article from which the information was extracted, please visit:

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