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Performs two-sample t-test of significance of difference in means between the variables in the Analytical Variable box and in the Reference Variable box.
Welch Two Sample t-test
data: x and y
t = 28.2857, df = 2164.914, p-value = < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
42.89650 49.28766
sample estimates:
mean of x mean of y
71.05433 24.96225
F test to compare two variances
data: x and y
F = 1.1019, num df = 1085, denom df = 1085, p-value = 0.1102
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.9781864 1.2412004
sample estimates:
ratio of variances
1.101874
Two Sample t-test
data: x and y
t = 28.2857, df = 2170, p-value = < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
42.89651 49.28766
sample estimates:
mean of x mean of y
71.05433 24.96225