Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.478260869565217 |
t-stat | -4.49073119510249 |
df | 22 |
p-value | 0.000181943713188629 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.699127426420226,-0.257394312710209] |
F-test to compare two variances | |
F-stat | 0.323076923076923 |
df | 22 |
p-value | 0.0106031996038642 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.137020014519679,0.761777019151176] |
Welch Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.478260869565217 |
t-stat | -4.49073119510249 |
df | 22 |
p-value | 0.000181943713188629 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.699127426420226,-0.257394312710209] |
Wicoxon rank sum test with continuity correction (paired) | |
W | 0 |
p-value | 0.00108934696879958 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.478260869565217 |
p-value | 0.0103815766001250 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.478260869565217 |
p-value | 0.0103815766001250 |