| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.171428571428571 |
| t-stat | 3.22192121879336 |
| df | 104 |
| p-value | 0.00170044032232553 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.0659172112278813,0.276939931629262] |
| F-test to compare two variances | |
| F-stat | 0.927842565597668 |
| df | 104 |
| p-value | 0.703262111913344 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.63040754268165,1.3656115579975] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.171428571428571 |
| t-stat | 3.22192121879336 |
| df | 104 |
| p-value | 0.00170044032232553 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.0659172112278813,0.276939931629262] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 455 |
| p-value | 0.00208972848761981 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.171428571428571 |
| p-value | 0.0913860409268299 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.466666666666667 |
| p-value | 2.34510744157035e-10 |
