Find the Rank Correlation Coefficient for the following data.
Student Name 1 2 3 4 5 6 7 8 9
Rank in A 3 4 1 2 5 7 9 8 6
Rank in B 5 7 1 4 3 2 8 9 6
Answers
Answer:
X Y Rank X Rank Y d d
2
35 40 1 2 1 1
54 60 2 3 1 1
80 75 4 5 1 1
95 90 8 6 2 4
73 70 3 4 1 1
73 75 3 5 2 4
35 38 1 1 0 0
91 95 7 7 0 0
83 75 6 5 1 1
81 70 5 4 1 1
∑d
2
=14
Sperman rank correlation coefficient =r=1−
n(n
2
−1)
6∑d
2
r=1−
10(100−1)
6(14)
r=1−
990
84
=1−.084=.915
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Answer:The Rank Correlation Coefficient is -0.3
Step-by-step explanation:
The Rank Correlation Coefficient, also known as Spearman's rank correlation coefficient, is a measure of the correlation between two sets of ranks. To calculate the coefficient, we use the following formula:
where d is the difference in ranks for each pair of data, and n is the number of pairs.
Using this formula, the calculation for the data provided would be:
Student Name 1 2 3 4 5 6 7 8 9
Rank in A 3 4 1 2 5 7 9 8 6
Rank in B 5 7 1 4 3 2 8 9 6
The Rank Correlation Coefficient is -0.3, which indicates a weak negative correlation between the two sets of ranks. This means that as one set of ranks increases, the other decreases. The negative value represents a downward trend.
It may not have a strong correlation because ranking are based on different methodologies.
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