Describe point biserial correlation and phi coefficient
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Answer:
POINT BISERIAL CORRELATION:
The point biserial correlation coefficient, rpbi, is a special case of Pearson's correlation coefficient. It measures the relationship between two variables: One continuous variable (must be ratio scale or interval scale).
PHI COEFFICIENT:
In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or rφ) is a measure of association for two binary variables. Introduced by Karl Pearson, this measure is similar to the Pearson correlation coefficient in its interpretation. In fact, a Pearson correlation coefficient estimated for two binary variables will return the phi coefficient.
Step-by-step explanation:
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Explain Below
Step-by-step explanation:
Point biserial correlation coefficient: The point biserial correlation coefficient, rpbi, is a special case of Pearson’s correlation coefficient. It measures the relationship between two variables:
• One continuous variable (must be ratio scale or interval scale).
• One naturally binary variable.*
Phi coefficient: A Phi coefficient is a non-parametric test of relationships that operates on two dichotomous variables.
To learn more
i)Which correlation we have to use for two dichotomous variables?
https://brainly.in/question/3178508
ii)Correlation and correlation types
https://brainly.in/question/13181041