Spearman Rank Correlation MCQs
Spearman Rank Correlation – MCQs with Answers & Explanations
Class: 11th |
Subject: Economics (Statistics for Economics) |
Section: Correlation |
Topic: Spearman Rank Correlation
Board: CBSE Board Examinations
Board: CBSE Board Examinations
These Multiple Choice Questions (MCQs) are designed strictly as per the NCERT syllabus, making them ideal for CBSE Class 11 Board Examination preparation. Each question includes easy and concept‑clearing explanations.
1. Spearman’s Rank Correlation measures:
Answer: B
It measures correlation using ranks instead of actual values.
It measures correlation using ranks instead of actual values.
2. It is denoted by:
Answer: B
Spearman rank coefficient is represented by rho (ρ).
Spearman rank coefficient is represented by rho (ρ).
3. Formula is:
Answer: A
This is the standard Spearman rank formula.
This is the standard Spearman rank formula.
4. d represents:
Answer: B
d = difference between two ranks.
d = difference between two ranks.
5. Range of ρ is:
Answer: B
Same as Karl Pearson coefficient.
Same as Karl Pearson coefficient.
6. Used when data is:
Answer: B
Suitable for ranks, grades, preferences.
Suitable for ranks, grades, preferences.
7. If ranks are identical:
Answer: B
Perfect agreement → perfect positive correlation.
Perfect agreement → perfect positive correlation.
8. Completely opposite ranks:
Answer: B
Perfect negative correlation.
Perfect negative correlation.
9. Tied ranks require:
Answer: B
Tie correction factor is applied.
Tie correction factor is applied.
10. Advantage:
Answer: B
Simple where actual values unavailable.
Simple where actual values unavailable.
11. If Σd² = 0:
Answer: B
No rank difference → perfect positive.
No rank difference → perfect positive.
12. Measures:
Answer: B
It measures monotonic rank relationship.
It measures monotonic rank relationship.
13. Small sample suitability:
Answer: B
Works well even with small samples.
Works well even with small samples.
14. If ranks unrelated:
Answer: C
No association → zero correlation.
No association → zero correlation.
15. Used in:
Answer: A
Useful for grading, preference, merit lists.
Useful for grading, preference, merit lists.
16. If d increases:
Answer: B
Greater rank difference lowers correlation.
Greater rank difference lowers correlation.
17. Maximum Σd² gives:
Answer: B
Indicates complete rank reversal.
Indicates complete rank reversal.
18. Nature of method:
Answer: B
Entirely dependent on ranking.
Entirely dependent on ranking.
19. Limitation:
Answer: A
Less accurate than Karl Pearson for exact data.
Less accurate than Karl Pearson for exact data.
20. Best suited when:
Answer: A
Spearman method is ideal for ranked data.
Spearman method is ideal for ranked data.