The mann whitney on PC_WOODMASS across RANCH groups was statistically significant (p = 0.006).
| statistic | 21778.5 |
| p_value | 0.005597 |
| significant | True |
| alternative | two-sided |
| method | asymptotic (normal approximation) |
| rank_biserial_r | -0.13708 |
| value_col | PC_WOODMASS |
| group_col | RANCH |
group stats
| group | n | mean | sd | median | min | max |
| KINSELLA | 179 | 0.98493 | 2.363451 | 0.0 | 0.0 | 18.072 |
| MATTHEIS | 214 | 0.228551 | 0.772529 | 0.0 | 0.0 | 7.466 |
effect size
| name | value |
| name | rank_biserial_r |
| value | -0.13708 |
group violin
mean ci
Method & Provenance
- Method
- Mann-Whitney U test
- Engine
- Python · scipy 1.17.1
- Input dataset
-
gallery — catg_example_08_woody_encroachment.csv
- Started
- 2026-09-21 02:16:20.597111
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/4fd68eade08c42a9bba7ba26389cf87b
| Parameter | Value |
| test_type | mann_whitney |
| value_col | PC_WOODMASS |
| group_col | RANCH |
Command history
# python
from scipy import stats
# python
stat, p = stats.mannwhitneyu(group_a, group_b, alternative='two-sided')