| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.131578947368421 |
| t-stat | -1.30278459709271 |
| df | 37 |
| p-value | 0.200698662217009 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.336220813756887,0.0730629190200452] |
| F-test to compare two variances | |
| F-stat | 0.642987804878049 |
| df | 40 |
| p-value | 0.172933798585756 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.337094471216251,1.21657199499455] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.131578947368421 |
| t-stat | -1.30278459709271 |
| df | 37 |
| p-value | 0.200698662217009 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.336220813756887,0.0730629190200452] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 40 |
| p-value | 0.208131633889847 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.116816431322208 |
| p-value | 0.950656226399008 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.736842105263158 |
| p-value | 1.00135733038798e-09 |
