| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0 |
| t-stat | 0 |
| df | 68 |
| p-value | 1 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.174790256250355,0.174790256250355] |
| F-test to compare two variances | |
| F-stat | 1 |
| df | 68 |
| p-value | 0.999999999999997 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.619173816071445,1.61505537547572] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0 |
| t-stat | 0 |
| df | 68 |
| p-value | 1 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.174790256250355,0.174790256250355] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 333 |
| p-value | 1 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0 |
| p-value | 1 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0 |
| p-value | 1 |
