rank-difference correlation coefficient Antonyms
No Synonyms and anytonyms found
Meaning of rank-difference correlation coefficient
rank-difference correlation coefficient (n)
the most commonly used method of computing a correlation coefficient between the ranks of scores on two variables
rank-difference correlation coefficient Sentence Examples
- The rank-difference correlation coefficient, denoted by ρ, measures the strength of the monotonic relationship between two ranked variables.
- Spearman's rank-difference correlation coefficient is a non-parametric measure of correlation that does not assume any specific distribution of the data.
- The rank-difference correlation coefficient ranges from -1 to 1, where a value of -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation.
- The null hypothesis for the rank-difference correlation coefficient is that there is no correlation between the two variables.
- The alternative hypothesis for the rank-difference correlation coefficient is that there is a correlation between the two variables.
- The test statistic for the rank-difference correlation coefficient is calculated by comparing the observed correlation to the expected correlation under the null hypothesis.
- The p-value for the rank-difference correlation coefficient is the probability of obtaining the observed correlation or a more extreme correlation under the null hypothesis.
- A small p-value indicates that the observed correlation is unlikely to have occurred by chance and provides evidence for a correlation between the two variables.
- The rank-difference correlation coefficient is often used to compare the rankings of two different groups or to assess the reliability of a ranking system.
- The rank-difference correlation coefficient is a versatile and widely used measure of correlation that is especially useful for non-parametric data.
FAQs About the word rank-difference correlation coefficient
the most commonly used method of computing a correlation coefficient between the ranks of scores on two variables
No synonyms found.
No antonyms found.
The rank-difference correlation coefficient, denoted by ρ, measures the strength of the monotonic relationship between two ranked variables.
Spearman's rank-difference correlation coefficient is a non-parametric measure of correlation that does not assume any specific distribution of the data.
The rank-difference correlation coefficient ranges from -1 to 1, where a value of -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation.
The null hypothesis for the rank-difference correlation coefficient is that there is no correlation between the two variables.
