| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.233333333333333 |
| t-stat | -2.24876399423758 |
| df | 29 |
| p-value | 0.0322941685086481 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.9 |
| CI | [-0.409635948402654,-0.0570307182640128] |
| F-test to compare two variances | |
| F-stat | 1.18518518518519 |
| df | 29 |
| p-value | 0.650353409897185 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.9 |
| CI | [0.636918476848227,2.20540614574942] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.233333333333333 |
| t-stat | -2.24876399423758 |
| df | 29 |
| p-value | 0.0322941685086481 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.9 |
| CI | [-0.409635948402654,-0.0570307182640128] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 12 |
| p-value | 0.0393672406234953 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.233333333333333 |
| p-value | 0.387651105343026 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.466666666666667 |
| p-value | 0.00290830117814456 |
