Wilcoxon Matched Pair Signed Rank Test β Previous Year Questions
π Topic Overviewβ
| Metric | Value |
|---|---|
| Papers Appeared | 8 of 27 (29.6%) |
| Priority | π‘ MEDIUM |
| Section Distribution | Sec A: ~1 |
| Most Repeated | "Explain in detail Wilcoxon matched pair signed rank test with suitable example." |
π― Must-Know Conceptsβ
- Non-parametric alternative to paired samples t-test
- Based on ranks of absolute differences between paired scores
- Both magnitude and direction of differences are considered
- T statistic = smaller of sum of positive and negative ranks
- Decision: T obtained β€ T critical = significant
π₯ Most Repeated Questionβ
Common phrasings:
- "Explain in detail Wilcoxon matched pair signed rank test with suitable example."
- "Describe Wilcoxon matched pair signed rank test."
- "What do you mean by two sample tests? Write step by step procedure for Wilcoxon test for small sample."
- "Wilcoxon matched pair signed rank test (short note)."
Answer (Section B β ~250 words):β
The Wilcoxon Matched Pair Signed Rank Test is a non-parametric statistical test used to compare two related (paired) samples. It is the non-parametric equivalent of the paired samples t-test.
When to Use:
- Data consists of paired observations (before-after, matched pairs, repeated measures)
- Data is at least ordinal
- Assumptions of the paired t-test (normality of difference scores) cannot be met
- Sample is small
Step-by-Step Procedure:
Step 1: Compute the difference (D) for each pair: D = Scoreβ β Scoreβ
Step 2: Exclude all pairs where D = 0 (zero differences are dropped). Update n accordingly.
Step 3: Rank the absolute values of the differences |D|, from smallest (rank 1) to largest. Handle ties with average ranks.
Step 4: Assign the sign of the original difference to each rank.
- Positive differences β positive ranks
- Negative differences β negative ranks
Step 5: Compute:
- WβΊ = sum of positive ranks
- Wβ» = sum of negative ranks
Verification: WβΊ + Wβ» = n(n+1)/2
Step 6: T = smaller of WβΊ and Wβ»
Step 7: Find T critical from the Wilcoxon T table at the adjusted n and Ξ± = 0.05
Decision: If T obtained β€ T critical β Reject Hβ β Significant difference between the two conditions
Note: Like Mann-Whitney U, the decision rule is reversed β smaller obtained value means more significant.
Example Table:
| Pair | Scoreβ | Scoreβ | D | |D| | Rank | Signed Rank | |------|--------|--------|---|----|------|-------------| | 1 | | | | | | | | ... | | | | | | |
Advantages:
- Considers both magnitude and direction of differences (unlike sign test)
- More powerful than the sign test
- Suitable when t-test assumptions cannot be met
π§ Memory Aidβ
Wilcoxon Steps (DRZST):
- Differences (compute D = Scoreβ β Scoreβ)
- Remove zeros
- Zero-free ranking of |D|
- Sign the ranks (+ or β)
- T = smaller of WβΊ and Wβ» β compare with T critical
π Related Contentβ
β Self-Assessmentβ
- When is the Wilcoxon test preferred over the paired t-test?
- What is the purpose of the sign assigned to each rank?
- If WβΊ = 32 and Wβ» = 13, what is T?
- What should WβΊ + Wβ» equal?
- How does the Wilcoxon test differ from the sign test?
π‘ Exam Tipsβ
- Section C (short note): Non-parametric paired test β Based on ranks of |D| β T = smaller of WβΊ and Wβ» β T β€ T critical = significant.
- Section B (6 marks): Full procedure steps + the table + decision rule + comparison with paired t-test.
- Show the complete signed rank table for computation questions.
- Verification check (WβΊ + Wβ» = n(n+1)/2) is good practice and shows understanding.