| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.290123456790123 |
| t-stat | -1.92026838302289 |
| df | 161 |
| p-value | 0.0565917682942415 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.588487037184138,0.00824012360389082] |
| F-test to compare two variances | |
| F-stat | 1.68832083186655 |
| df | 161 |
| p-value | 0.00097055894574849 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [1.23825636182755,2.30196857386432] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.290123456790123 |
| t-stat | -1.92026838302289 |
| df | 161 |
| p-value | 0.0565917682942415 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.588487037184138,0.00824012360389082] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 3801 |
| p-value | 0.0761861923169004 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.0864197530864197 |
| p-value | 0.580683628435105 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.253086419753086 |
| p-value | 6.23095390380746e-05 |
