| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.299145299145299 |
| t-stat | 6.76606526537084 |
| df | 116 |
| p-value | 5.68854357126068e-10 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.211576685074576,0.386713913216022] |
| F-test to compare two variances | |
| F-stat | 6.73008849557522 |
| df | 116 |
| p-value | 0 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [4.66849780539571,9.70206971200123] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.299145299145299 |
| t-stat | 6.76606526537084 |
| df | 116 |
| p-value | 5.68854357126068e-10 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.211576685074576,0.386713913216022] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 684 |
| p-value | 9.17516602614586e-09 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.299145299145299 |
| p-value | 5.67452679326452e-05 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.666666666666667 |
| p-value | 0 |
