Concept:
Spearman's rank correlation coefficient measures the strength of association between two ranked variables.
• Formula: \( \rho = 1 - \frac{6 \sum d^2}{n(n^2 - 1)} \).
• \( d \): Difference between the ranks of each pair.
• \( n \): Number of pairs of observations.
Step 1: Calculate the differences \( d \) and their squares \( d^2 \).
Let \( X \) be Test-1 and \( Y \) be Test-2.
Pairs (X, Y): (1, 2), (3, 1), (2, 3), (4, 5), (5, 4).
\[ d_1 = 1-2 = -1 \implies d_1^2 = 1 \]
\[ d_2 = 3-1 = 2 \implies d_2^2 = 4 \]
\[ d_3 = 2-3 = -1 \implies d_3^2 = 1 \]
\[ d_4 = 4-5 = -1 \implies d_4^2 = 1 \]
\[ d_5 = 5-4 = 1 \implies d_5^2 = 1 \]
Step 2: Calculate the sum \( \sum d^2 \) and identify \( n \).
Summing the squared differences:
\[ \sum d^2 = 1 + 4 + 1 + 1 + 1 = 8 \]
Number of students \( n = 5 \).
Step 3: Apply the formula for \( \rho \).
\[ \rho = 1 - \frac{6(8)}{5(5^2 - 1)} = 1 - \frac{48}{5(24)} \]
\[ \rho = 1 - \frac{48}{120} = 1 - 0.4 = 0.6 \]
Final Answer: (A)