kendall rank correlation Antonyms
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Meaning of kendall rank correlation
Wordnet
kendall rank correlation (n)
a nonparametric measure of the agreement between two rankings
kendall rank correlation Sentence Examples
- Kendall rank correlation, a non-parametric measure, assesses the concordance between the ranks of two variables.
- It is used when the data is ordinal or non-normally distributed.
- The Kendall rank correlation coefficient, denoted by tau, ranges from -1 to 1, where -1 indicates perfect negative correlation and 1 indicates perfect positive correlation.
- A tau value close to 0 indicates no correlation.
- To calculate Kendall rank correlation, the differences between the ranks of the paired observations are computed.
- The sum of the number of concordant pairs and the sum of the number of discordant pairs are used to obtain the correlation coefficient.
- Kendall rank correlation is resistant to outliers and can handle ties in the rankings.
- It is commonly used in psychology, sociology, and medical research to measure the association between variables.
- The sign of the Kendall rank correlation coefficient indicates the direction of the relationship between the ranks, positive tau for positive correlation and negative tau for negative correlation.
- In data analysis, Kendall rank correlation is a useful tool for evaluating the correlation between ordinal or non-normally distributed variables.
FAQs About the word kendall rank correlation
a nonparametric measure of the agreement between two rankings
No synonyms found.
No antonyms found.
Kendall rank correlation, a non-parametric measure, assesses the concordance between the ranks of two variables.
It is used when the data is ordinal or non-normally distributed.
The Kendall rank correlation coefficient, denoted by tau, ranges from -1 to 1, where -1 indicates perfect negative correlation and 1 indicates perfect positive correlation.
A tau value close to 0 indicates no correlation.