| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.0476190476190476 |
| t-stat | -0.567961834247065 |
| df | 20 |
| p-value | 0.576382340407523 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.222510363791071,0.127272268552976] |
| F-test to compare two variances | |
| F-stat | 1 |
| df | 20 |
| p-value | 1 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.405764403123737,2.46448429754212] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.0476190476190476 |
| t-stat | -0.567961834247065 |
| df | 20 |
| p-value | 0.576382340407523 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.222510363791071,0.127272268552976] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 2 |
| p-value | 0.772829992684448 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.0476190476190476 |
| p-value | 1 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.476190476190476 |
| p-value | 0.0170986082748734 |
