| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.461538461538462 |
| t-stat | 3.33333333333333 |
| df | 25 |
| p-value | 0.00267516569609079 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.176371585003390,0.746705338073534] |
| F-test to compare two variances | |
| F-stat | 0.686274509803922 |
| df | 25 |
| p-value | 0.352822046404295 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.307704732654939,1.53059947678726] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.461538461538462 |
| t-stat | 3.33333333333333 |
| df | 25 |
| p-value | 0.00267516569609079 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.176371585003390,0.746705338073534] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 142.5 |
| p-value | 0.00505329940861898 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.461538461538461 |
| p-value | 0.0078651441176345 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.461538461538461 |
| p-value | 0.0078651441176345 |
