Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.309090909090909 |
t-stat | -6.70352388859504 |
df | 109 |
p-value | 9.33435641145208e-10 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.400476894040337,-0.217704924141481] |
F-test to compare two variances | |
F-stat | 0.154970760233918 |
df | 109 |
p-value | 7.50308737892139e-20 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.106251043284246,0.226030124365278] |
Welch Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | -0.309090909090909 |
t-stat | -6.70352388859504 |
df | 109 |
p-value | 9.33435641145208e-10 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [-0.400476894040337,-0.217704924141481] |
Wicoxon rank sum test with continuity correction (paired) | |
W | 18.5 |
p-value | 1.53452835030095e-08 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.309090909090909 |
p-value | 5.45745048431412e-05 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.654545454545455 |
p-value | 0 |