| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.363636363636364 |
| t-stat | -3.80664761144709 |
| df | 32 |
| p-value | 0.000600974473770437 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.558217819444907,-0.16905490782782] |
| F-test to compare two variances | |
| F-stat | 1.3 |
| df | 32 |
| p-value | 0.462180712842677 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.642054974596473,2.6321733603297] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.363636363636364 |
| t-stat | -3.80664761144709 |
| df | 32 |
| p-value | 0.000600974473770437 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.558217819444907,-0.16905490782782] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 7.5 |
| p-value | 0.00151653831170848 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.363636363636364 |
| p-value | 0.025463957781115 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.393939393939394 |
| p-value | 0.0119375646999563 |
