| Two Sample t-test (unpaired) | |
| Mean of Sample 1 | 0.4 |
| Mean of Sample 2 | 0.4 |
| t-stat | 0 |
| df | 38 |
| p-value | 1 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.321765068826605,0.321765068826605] |
| F-test to compare two variances | |
| F-stat | 1 |
| df | 19 |
| p-value | 1 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.395812159543223,2.52645093357926] |
| Welch Two Sample t-test (unpaired) | |
| Mean of Sample 1 | 0.4 |
| Mean of Sample 2 | 0.4 |
| t-stat | 0 |
| df | 38 |
| p-value | 1 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.321765068826605,0.321765068826605] |
| Wicoxon rank sum test with continuity correction (unpaired) | |
| W | 200 |
| p-value | 1 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0 |
| p-value | 1 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0 |
| p-value | 1 |
