What are the features of Karl Pearson’s Coefficient of Correlation?


Karl Pearson, the great biologist and statistician has given a formula for the calculation of correlation. It is popularly known as Pearson’s coefficient of correlation and is widely used in practice. The Pearson’s co-efficient of correlation is denoted by.


The following are the main features of Pearson’s co-efficient of correlation;


1. Knowledge of Direction of Correlation:

Pearson’s co-efficient of correlation gives the knowledge about the direction of relationship whether it is positive or negative.

2. Size of Correlation:

This method also indicates the size of relationship between the variables i.e. correlation ranges between +1 and -1.


3. Meal Measure:

It is an ideal measure of correlation because it is based on most important statistical measures like mean and standard deviation.

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