The independent on Feature_1 across Phenotype groups was not statistically significant (p = 0.122).
| statistic | -1.62056 |
| p_value | 0.122498 |
| significant | False |
| test_type | independent |
| test_variant | Student's t-test (equal variances assumed) |
| levene_p | 0.367509 |
| value_col | Feature_1 |
| group_col | Phenotype |
group stats
| group | n | mean | sd | median | min | max |
| Control | 10 | 46.644287 | 9.334944 | 48.334781 | 30.489648 | 59.405647 |
| Treatment | 10 | 52.697071 | 7.23607 | 54.181301 | 40.411174 | 61.272412 |
effect size
| name | value |
| name | cohens_d |
| value | -0.724737 |
group boxplot
mean ci
Method & Provenance
- Method
- Student's / Welch's t-test
- Engine
- Python · scipy 1.17.1
- Input dataset
-
gallery — demo_simple.csv
- Started
- 2026-09-21 02:17:43.297810
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/d1b299470a2b4e1993972286fbf0145f
| Parameter | Value |
| test_type | independent |
| value_col | Feature_1 |
| group_col | Phenotype |
Command history
# python
from scipy import stats
# python
stat, p = stats.ttest_ind(group_a, group_b, equal_var=<levene>)