Two Sample t-test (unpaired) | |
Mean of Sample 1 | 0.1 |
Mean of Sample 2 | 0.475 |
t-stat | -4.01997773556958 |
df | 78 |
p-value | 0.000133325937826613 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.560714374534615,-0.189285625465385] |
F-test to compare two variances | |
F-stat | 0.360902255639098 |
df | 39 |
p-value | 0.00195038850567293 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.190880960231471,0.682364746947214] |
Welch Two Sample t-test (unpaired) | |
Mean of Sample 1 | 0.1 |
Mean of Sample 2 | 0.475 |
t-stat | -4.01997773556958 |
df | 63.9063172110239 |
p-value | 0.000156124441363482 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.561361671813624,-0.188638328186376] |
Wicoxon rank sum test with continuity correction (unpaired) | |
W | 500 |
p-value | 0.000236891804313132 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.375 |
p-value | 0.00721312593365186 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.525 |
p-value | 3.25786686569129e-05 |