We use F-test and T- test for our research purposes. i would like to know more effective and efficient hypothesis test methods for validation of test results from two different independent sample population.
Re: Best alternative test for F test and t test for two independent sample population
For comparing two group means, if the assumptions underlying a t-test are met, I believe the t-test (equivalent to a one-way ANOVA with 2 groups) is the optimal and most powerful test. I'm not sure what you are looking for.
If the assumptions are not met, you can try a transformation, a rank test, or some specialized technique. Or maybe Monte-Carlo.
If this doesn't help, can you explain a bit further?