Kruskal Wallis run #185 · statistical_test
58.21
statistic
1.42e-12
p value
True
significant
4
num groups
completed
status
2026-09-21 02:16
created
Figures
Distribution by group
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Group means (95% CI)
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Group Stats 4 rows
| group | n | mean | sd | median | min | max |
|---|---|---|---|---|---|---|
| control | 25 | 10.164133556286293 | 1.012099081204688 | 10.097676098548831 | 7.876104275690193 | 12.189802933217672 |
| high | 25 | 13.606847268846064 | 0.8771167799411369 | 13.486133082663306 | 11.932557899960123 | 15.628615545571291 |
| low | 25 | 10.471071609894661 | 0.9952673366955452 | 10.446980593764742 | 8.686865470909122 | 12.276170839215888 |
| mid | 25 | 11.045180921916424 | 1.1793627951681684 | 11.445375949585149 | 8.7607678222399 | 12.860747924881988 |
Effect Size 2 rows
| name | value |
|---|---|
| name | epsilon_squared |
| value | 0.575064356435643 |
Posthoc 6 rows
| group_a | group_b | meandiff | z | p_adj | reject | method |
|---|---|---|---|---|---|---|
| control | high | -56.96 | -6.941525497873199 | 2.327329201415765e-11 | True | dunn_bonferroni |
| control | low | -6.32 | -0.7701973515898634 | 1.0 | False | dunn_bonferroni |
| control | mid | -17.439999999999998 | -2.1253547170454454 | 0.20134215456405335 | False | dunn_bonferroni |
| high | low | 50.64 | 6.171328146283336 | 4.063122610314744e-09 | True | dunn_bonferroni |
| high | mid | 39.52 | 4.816170780827753 | 8.780357389006956e-06 | True | dunn_bonferroni |
| low | mid | -11.119999999999997 | -1.355157365455582 | 1.0 | False | dunn_bonferroni |
Method & Provenance
- Method
- Kruskal-Wallis H test
- Method key
kruskal_wallis(result type:statistical_test, result #185)- Engine
- Python · scipy v1.17.1
- Dataset(s)
- #705 gallery — example_posthoc.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/460cb7b064cc46bd994725312267c267 Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:16:37.688121
Parameters used
| Parameter | Value |
|---|---|
test_type
| kruskal_wallis |
value_col
| value |
group_col
| group |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
from scipy import stats
stat, p = stats.kruskal(*groups)