| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.0666666666666667 |
| t-stat | 0.701088741693099 |
| df | 29 |
| p-value | 0.488835569819415 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.127814623219077,0.26114795655241] |
| F-test to compare two variances | |
| F-stat | 0.93620867768595 |
| df | 32 |
| p-value | 0.85215750289515 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.450872730397969,1.91887610569815] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 0.0666666666666667 |
| t-stat | 0.701088741693099 |
| df | 29 |
| p-value | 0.488835569819415 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.127814623219077,0.26114795655241] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 22.5 |
| p-value | 0.529650670053343 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.0242424242424242 |
| p-value | 1 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.733333333333333 |
| p-value | 9.13616418074525e-08 |
