Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.171428571428571 |
t-stat | -3.22192121879336 |
df | 104 |
p-value | 0.00170044032232553 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.276939931629262,-0.0659172112278813] |
F-test to compare two variances | |
F-stat | 1.0777690494894 |
df | 104 |
p-value | 0.703262111913344 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.732272654067441,1.58627543659482] |
Welch Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.171428571428571 |
t-stat | -3.22192121879336 |
df | 104 |
p-value | 0.00170044032232553 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.276939931629262,-0.0659172112278813] |
Wicoxon rank sum test with continuity correction (paired) | |
W | 140 |
p-value | 0.00208972848761981 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.171428571428571 |
p-value | 0.0913860409268299 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.466666666666667 |
p-value | 2.34510744157035e-10 |