Spearman’s Rank Correlation Coefficient (when Ranks are given)


🚩Timestamps:-

00:05 Session Agenda

00:32 Spearman’s Rank Correlation Coefficient

05:14 three different situations

05:47 Practical Problem: when Ranks are given

08:58 Interpretation

10:42 Concluding Remarks

Learning Outcomes:-

Through this module, you will gain understanding on:-

1.    SPEARMAN'S RANK CORRELATION COEFFICIENT

2.    Practical Problem: (When Ranks are given)

SPEARMAN'S RANK CORRELATION COEFFICIENT

·         In 1904, Charles Edward Spearman developed a formula to calculate coefficient of correlation of qualitative variables.

·         It is popularly known as Spearman's Rank Difference Formula or Method.

·         There are some variables whose quantitative measurement is not possible. These variables are known as qualitative variables (or more precisely 'attributes') such as beauty, bravery, wisdom, ability, virtue, etc. The attributes cannot be expressed in numbers or quantitative terms. Their relative merit can be determined on the basis of their order of preference or ranking. For instance, in a fancy dress competition two judges may rank the participants in order of preference. Similarly, the selection committee may prepare a list of successful candidates in order of preference. We experience many such examples in our day-to-day life. It is in such situations that we use Spearman's Rank Difference Method.

We shall study the calculation of rank correlation in three different situations:

(i) When Ranks are given; 

(ii) When Ranks are not given;

(iii) When the values of the series are the same.

VIDEO DESCRIPTION (max 5,000 characters)

Spearman’s Rank Correlation Coefficient, three different situations, Practical Problem: when Ranks are given, Interpretation | Correlation | 11th Commerce | by @statomics11comm

 

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