Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | 0.740740740740741 |
t-stat | 6.9170418571447 |
df | 161 |
p-value | 1.03005763629247e-10 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.529260047271457,0.952221434210025] |
F-test to compare two variances | |
F-stat | 0.582743872347426 |
df | 161 |
p-value | 0.000673284822188276 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.42739880574266,0.794551637008885] |
Welch Two Sample t-test (paired) | |
Difference: Mean1 - Mean2 | 0.740740740740741 |
t-stat | 6.9170418571447 |
df | 161 |
p-value | 1.03005763629247e-10 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.529260047271457,0.952221434210025] |
Wicoxon rank sum test with continuity correction (paired) | |
W | 5793.5 |
p-value | 1.57278573819753e-09 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.290123456790123 |
p-value | 2.39373586596869e-06 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.290123456790123 |
p-value | 2.39373586596869e-06 |