Spearman's Rank Correlation is a statistical test developed by Charles Spearman in 1904 to determine the strength of the relationship between two sets of ranked data. It calculates a value using the differences between ranks to indicate how well the relationship between the two variables can be described using a monotonic function. The formula uses n, the number of samples, and D, the difference between ranks, to calculate D^2 and determine the Spearman's Rank Correlation coefficient.

1. Spearman’s Rank
Correlation

2. What is Spearman’s Rank Correlation?
 Developed by Charles Edward Spearman in
1904.
 Spearman’s Rank offers you the opportunity
to use a statistical test to get a value which
can determine the strength of the
relationship between two sets of data.

3. Formula:
Where n= number of samples
D= difference between ranks

4. Example:
Student
Trainee
1st Evaluation 2nd Evaluation D D2
A 8 7
B 2 5
C 7 10
D 1 4
E 4 2
F 9 6
G 3 1
H 6 9
I 10 8
J 5 3
D D2
1 1
-3 9
-3 9
-3 9
2 4
3 9
2 4
-3 9
2 4
2 4

5. Activity:
Student
Trainee
1st Evaluation 2nd Evaluation D D2
A 10 6
B 5 4
C 9 7
D 1 4
E 6 8