Result Detail – Mann Whitney Help
Result Information
- Result ID
- 183
- Type
- Mann Whitney
- Status
- completed
- Dataset ID
- 703
- Created
- 2026-09-21 02:16:20.597111
Statistical Test Result Help
- Test
- mann whitney — two-sided — asymptotic (normal approximation)
- Statistic
- 21778.5000
- p-value
- 0.005597
- Interpretation
- significant Significant at alpha=0.05 (p=0.005597).
- Value Column
- PC_WOODMASS
- Group Column
- RANCH
- Groups
- KINSELLA (n=179) MATTHEIS (n=214)
- Effect size
- rank biserial r = -0.1371
Assumptions
Shapiro-Wilk suggests group "KINSELLA" is not normally distributed (p=8.896e-23).
Shapiro-Wilk suggests group "MATTHEIS" is not normally distributed (p=1.746e-27).
Levene's test suggests unequal variances across groups (p=1.341e-05).
- Shapiro-Wilk, group KINSELLA: W=0.4757, p=8.896e-23 — non-normal
- Shapiro-Wilk, group MATTHEIS: W=0.3208, p=1.746e-27 — non-normal
- Levene's test (equal variances): p=1.341e-05
Group descriptives
| Group | n | Mean | SD | Median | Min | Max |
|---|---|---|---|---|---|---|
| KINSELLA | 179 | 0.9849 | 2.3635 | 0.0000 | 0.0000 | 18.0720 |
| MATTHEIS | 214 | 0.2286 | 0.7725 | 0.0000 | 0.0000 | 7.4660 |
Interactive group boxplot
Figures
Distribution by group (violin) — rank biserial r = -0.137
Download PNG
Group means (95% CI)
Download PNG
Pathway Analysis (same dataset) Help
Method & Provenance
- Method
- Mann-Whitney U test
- Method key
mann_whitney(result type:statistical_test, result #183)- Engine
- Python · scipy v1.17.1
- Dataset(s)
- #703 gallery — catg_example_08_woody_encroachment.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/4fd68eade08c42a9bba7ba26389cf87b Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:16:20.597111
Parameters used
| Parameter | Value |
|---|---|
test_type
| mann_whitney |
value_col
| PC_WOODMASS |
group_col
| RANCH |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
from scipy import statsstat, p = stats.mannwhitneyu(group_a, group_b, alternative='two-sided')Run warnings
- Shapiro-Wilk suggests group "KINSELLA" is not normally distributed (p=8.896e-23).
- Shapiro-Wilk suggests group "MATTHEIS" is not normally distributed (p=1.746e-27).
- Levene's test suggests unequal variances across groups (p=1.341e-05).