| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.616666666666667 |
| t-stat | -3.76481958083764 |
| df | 29 |
| p-value | 0.000754641540982186 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.951669425471173,-0.28166390786216] |
| F-test to compare two variances | |
| F-stat | 0.329418755024291 |
| df | 32 |
| p-value | 0.00273023077662226 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.158646183337263,0.675184702781603] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | -0.616666666666667 |
| t-stat | -3.76481958083764 |
| df | 29 |
| p-value | 0.000754641540982186 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [-0.951669425471173,-0.28166390786216] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 19 |
| p-value | 0.00191549648816823 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.4 |
| p-value | 0.0130963131307714 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.4 |
| p-value | 0.0130963131307714 |
