| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 1.01282051282051 |
| t-stat | 3.10546986697654 |
| df | 155 |
| p-value | 0.00225945113412587 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.368566118865579,1.65707490677545] |
| F-test to compare two variances | |
| F-stat | 1.27936487135806 |
| df | 155 |
| p-value | 0.126213850004364 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.932717009332036,1.75484574387379] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 1.01282051282051 |
| t-stat | 3.10546986697654 |
| df | 155 |
| p-value | 0.00225945113412587 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.368566118865579,1.65707490677545] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 6369.5 |
| p-value | 0.00489233764778008 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.166666666666667 |
| p-value | 0.0262473981459819 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.153846153846154 |
| p-value | 0.0498281109653893 |
