| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.529411764705882 |
| t-stat | -4.24264068711928 |
| df | 16 |
| p-value | 0.000620655397006951 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.793941072803408,-0.264882456608357] |
| F-test to compare two variances | |
| F-stat | 0 |
| df | 16 |
| p-value | 0 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0,0] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.529411764705882 |
| t-stat | -4.24264068711928 |
| df | 16 |
| p-value | 0.000620655397006951 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.793941072803408,-0.264882456608357] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 0 |
| p-value | 0.00335343645494632 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.529411764705882 |
| p-value | 0.0170507801203671 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.529411764705882 |
| p-value | 0.0170507801203671 |
