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🔢
Non-parametric
Mann-Whitney U Test — Department Satisfaction Scores
Non-parametric alternative to the independent t-test. Compare ordinal satisfaction scores using ranks.
📊 U = 12, p > .05 (n.s.)
Step-by-step solution
🔢 4 · Non-parametric Tests
4a · Mann-Whitney U Test
Non-parametric
Research Question:
Do satisfaction scores differ between two departments (n₁=5, n₂=5)? Data is ordinal/skewed.
| Dept A | 6 | 8 | 2 | 4 | 9 |
|---|---|---|---|---|---|
| Dept B | 7 | 5 | 10 | 3 | 1 |
U Statistic
-
1Rank all 10 values combined:
Value 1 2 3 4 5 6 7 8 9 10 Rank 1 2 3 4 5 6 7 8 9 10 Group B A B A B A B A A B -
2
-
3Normal approximation (n>10 each; shown for demonstration):
-
4Effect size r:
11
U
.754
p (exact)
0.099
r
⚪ Fail to Reject H₀ — No significant difference between departments, U=11, p=.754.
APA-7
A Mann-Whitney U test revealed no significant difference in satisfaction scores between Department A (Mdn=6) and Department B (Mdn=6), U=11, z=−0.31, p=.754, r=.10.
4b · Kruskal-Wallis H Test
Non-parametric
Research Question:
Do pain levels differ across three clinics (non-normal data)?
| Clinic A | Clinic B | Clinic C |
|---|---|---|
| 3,5,4,2,6 | 7,9,8,10,6 | 5,4,6,3,5 |
Kruskal-Wallis H
-
1Rank all 15 values, sum ranks per group:
(ties at value 6 receive average rank (9+10)/2=9.5; value 5: (5+6+7)/3=6) -
2
-
3Compare to χ² distribution with df=k−1=2: χ²(2,0.05)=5.99. Since H=3.34 < 5.99 → fail to reject H₀.
3.34
H
2
df
.188
p
⚪ Fail to Reject H₀ — Pain levels do not differ significantly across clinics, H(2)=3.34, p=.188.
APA-7
A Kruskal-Wallis test indicated no significant difference in pain levels across the three clinics, H(2) = 3.34, p = .188, η² = .10.