I have two samples as follows:
conjps <- c(9.41,10.45,10.78,10.73,11.11,11.12,11.59,11.04,11.63) ms <- c(4.11,5.10,5.70,6.46,6.04,6.16, 6.24,6.32,7.33)
I want to test if the change of sample is the same to the another one.
conjps_ch <- c(1.04,0.33,...) ms <- c(0.99,0.60,0.76,...)
Which test I should use, and which conclusion can we drive based on the test?
I used the following test: Test Equality of Two Variances
F test to compare two variances data: conjps and ms F = 0.5419, num df = 8, denom df = 8, p-value = 0.4045 alternative hypothesis: true ratio of variances is not equal to 1 95 percent confidence interval: 0.1222368 2.4024170 sample estimates: ratio of variances 0.5419076
Is it correct? Which conclusion can I get based on this?