| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.142857142857143 |
| t-stat | -1.40596734885506 |
| df | 34 |
| p-value | 0.168807368544713 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.349348882814452,0.0636345971001664] |
| F-test to compare two variances | |
| F-stat | 1.03401360544218 |
| df | 34 |
| p-value | 0.922885139711454 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.52193404951802,2.04850428368655] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.142857142857143 |
| t-stat | -1.40596734885506 |
| df | 34 |
| p-value | 0.168807368544713 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.349348882814452,0.0636345971001664] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 28 |
| p-value | 0.177938674206831 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.142857142857143 |
| p-value | 0.867425867385948 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.457142857142857 |
| p-value | 0.00133191365302554 |
