Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.131578947368421 |
t-stat | -1.30278459709271 |
df | 37 |
p-value | 0.200698662217009 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.336220813756887,0.0730629190200453] |
F-test to compare two variances | |
F-stat | 0.642987804878049 |
df | 40 |
p-value | 0.172933798585756 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.337094471216251,1.21657199499455] |
Welch Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.131578947368421 |
t-stat | -1.30278459709271 |
df | 37 |
p-value | 0.200698662217009 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.336220813756887,0.0730629190200453] |
Wicoxon rank sum test with continuity correction (paired) | |
W | 40 |
p-value | 0.208131633889847 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.116816431322209 |
p-value | 0.950656226399004 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.736842105263157 |
p-value | 1.00135733038798e-09 |