t-test instead of f-test

Hi everyone,

in the statistical testing chapter of the book (Getting started with conjoint analysis) it says:
"For comparing groups of people on the part-worth utilities, the f-test Is commonly used. For comparing levels within attributes, we recommend matched sample t-tests."

Why exactly is that the case? F-tests compare the differences in variances while t-tests compare the differences in the mean. So don't they measure different things?

Kind regards
Max

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