| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.0333333333333333 |
| t-stat | -0.238693233513124 |
| df | 29 |
| p-value | 0.813022196516673 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.9 |
| CI | [-0.270615164567156,0.203948497900489] |
| F-test to compare two variances | |
| F-stat | 1.02314814814815 |
| df | 29 |
| p-value | 0.951288819157056 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.9 |
| CI | [0.549839778841633,1.90388577426024] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.0333333333333333 |
| t-stat | -0.238693233513124 |
| df | 29 |
| p-value | 0.813022196516673 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.9 |
| CI | [-0.270615164567156,0.203948497900489] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 72 |
| p-value | 0.829309516759259 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.0333333333333333 |
| p-value | 1 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.566666666666667 |
| p-value | 0.000131016648798554 |
