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Kendall's W

Index Kendall's W

Kendall's W (also known as Kendall's coefficient of concordance) is a non-parametric statistic. [1]

8 relations: Cultural consensus theory, Friedman test, Kendall rank correlation coefficient, List of statistics articles, Name-letter effect, Nonparametric statistics, Rosedith Sitgreaves, Unistat.

Cultural consensus theory

Cultural consensus theory is an (aggregation, data fusion) which supports a framework for the measurement and evaluation of beliefs as cultural; shared to some extent by a group of individuals.

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Friedman test

The Friedman test is a non-parametric statistical test developed by Milton Friedman.

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Kendall rank correlation coefficient

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.

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List of statistics articles

No description.

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Name-letter effect

The name-letter effect is the tendency of people to prefer the letters in their name over other letters in the alphabet.

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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).

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Rosedith Sitgreaves

Rosedith Sitgreaves Bowker (1915 – February 1, 1992) was an American statistician who taught at Columbia University and Stanford University.

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Unistat

The Unistat computer program is a statistical data analysis tool featuring two modes of operation: The stand-alone user interface is a complete workbench for data input, analysis and visualization while the Microsoft Excel add-in mode extends the features of the mainstream spreadsheet application with powerful analytical capabilities.

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Redirects here:

Coefficient of concordance, Kendall W, Kendall coefficient of concordance W, Kendall's coefficient of concordance, Kendell's W, W coefficient.

References

[1] https://en.wikipedia.org/wiki/Kendall's_W

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