Hello
everyone,
I have two groups of
several thousand samples analysed for various elements, and wish to determine if
these samples are drawn from the same statistical population for later
variography studies. I propose to test the two groups by using a F-test to test
the sample variances, and a T-test to test the group means, at a given
confidence limit.
Before I do this, I
wonder how I would interpret the results of the test if, for
example:
1. The F-test
suggests no significant statistical difference between the variances at a
90% confidence limit, BUT
2. The T-test
suggests a significant statistical difference between the means at the same, or
lower confidence limit.
Has anyone come
across this scenario before and how are they interpreted?
Thanks,
Colin
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