| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.3 |
| t-stat | -2.34864408377644 |
| df | 19 |
| p-value | 0.029815024629699 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.567348816561795,-0.0326511834382046] |
| F-test to compare two variances | |
| F-stat | 0.208791208791209 |
| df | 19 |
| p-value | 0.00128423866096773 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.0826420992452884,0.527500744373692] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.3 |
| t-stat | -2.34864408377644 |
| df | 19 |
| p-value | 0.029815024629699 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.567348816561795,-0.0326511834382046] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 4.5 |
| p-value | 0.0410769029064881 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.3 |
| p-value | 0.329116378879816 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.65 |
| p-value | 0.000427800830731129 |
