Two Sample t-test (unpaired) | |
Mean of Sample 1 | 120 |
Mean of Sample 2 | 101.416666666667 |
t-stat | 2.41951221548762 |
df | 22 |
p-value | 0.0242550929204709 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [2.65472000987629,34.5119466567904] |
F-test to compare two variances | |
F-stat | 1.82655252729968 |
df | 11 |
p-value | 0.332279253758474 |
H0 value | 1 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [0.525823481089628,6.34489378083927] |
Welch Two Sample t-test (unpaired) | |
Mean of Sample 1 | 120 |
Mean of Sample 2 | 101.416666666667 |
t-stat | 2.41951221548762 |
df | 20.2669349333088 |
p-value | 0.0250547750696166 |
H0 value | 0 |
Alternative | two.sided |
CI Level | 0.95 |
CI | [2.57537554823672,34.5912911184299] |
Wicoxon rank sum test with continuity correction (unpaired) | |
W | 110.5 |
p-value | 0.0281718101600154 |
H0 value | 0 |
Alternative | two.sided |
Kolmogorov-Smirnov Test to compare Distributions of two Samples | |
KS Statistic | 0.5 |
p-value | 0.0995618483147803 |
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples | |
KS Statistic | 0.166666666666667 |
p-value | 0.996255192379399 |