| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.25 |
| t-stat | -1.91485421551268 |
| df | 11 |
| p-value | 0.0818642311656944 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.537356753096522,0.0373567530965216] |
| F-test to compare two variances | |
| F-stat | 1.09375 |
| df | 11 |
| p-value | 0.884516296934876 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.314866079045655,3.7993583371251] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.25 |
| t-stat | -1.91485421551268 |
| df | 11 |
| p-value | 0.0818642311656944 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.537356753096522,0.0373567530965216] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 0 |
| p-value | 0.148914673178766 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.25 |
| p-value | 0.847488453948251 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.416666666666667 |
| p-value | 0.248548218323673 |
