| Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 400 |
| t-stat | 2.91042750043600 |
| df | 9 |
| p-value | 0.0172992087755269 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [89.0962358678479,710.903764132152] |
| F-test to compare two variances | |
| F-stat | 1.29073924026500 |
| df | 9 |
| p-value | 0.709991678035939 |
| H0 value | 1 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [0.320601369380894,5.19650864117351] |
| Welch Two Sample t-test (paired) | |
| Difference: Mean1 - Mean2 | 400 |
| t-stat | 2.91042750043600 |
| df | 9 |
| p-value | 0.0172992087755269 |
| H0 value | 0 |
| Alternative | two.sided |
| CI Level | 0.95 |
| CI | [89.0962358678479,710.903764132152] |
| Wicoxon rank sum test with continuity correction (paired) | |
| W | 41.5 |
| p-value | 0.0282630331650289 |
| H0 value | 0 |
| Alternative | two.sided |
| Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
| KS Statistic | 0.2 |
| p-value | 0.988261077643524 |
| Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
| KS Statistic | 0.2 |
| p-value | 0.988261077643524 |
