T-test and robustness
Dear colleagues,
I remember I read, in the past, somewhere, that the student test was
quite robust regarding violations of the normality assumption but
cannot remember where I read this. So it is still relevant to use it
even with 'small' sample sizes (not too small however, maybe 15 or 20
in groups to be compared).
Does one has an opinion on the matter and/or could provide me with a
reference ?
Regards,
Catherine.
.
Relevant Pages
- Re: Need help understanding Homogeneity of Variance please
... What are the consequences of not having homogeneity of variance. ... It is true that some violations are unmistakable. ... If Normality is required of a variable, and it is not known 100% to be ... (sci.stat.edu) - Re: Need help understanding Homogeneity of Variance please
... where some violations are more serious than others .... ... If you have two binary variables ... If Normality is required of a variable, and it is not known 100% to be ... "In applying mathematics to subjects such as physics or statistics we make tentative assumptions about the real world which we know are false but which we believe may be useful nonetheless. ... (sci.stat.edu) - Re: Questions concerning T-tests
... The same goes for the K-S test of normality for each ... because the two distributions are not assumed to be ... The above solution is robust wrt using very large samples, ... (sci.stat.math) - Re: Need help understanding Homogeneity of Variance please
... What are the consequences of not having homogeneity of variance. ... If Normality is required of a variable, and it is not known 100% to be ... that is called "robustness" to certain types of violations. ... (sci.stat.edu) - Re: T-test and robustness
... It will convince you that normality is less an issue for the t-test ... than unequal variances, independent of sample size. ... quite robust regarding violations of the normality assumption but ... (sci.stat.consult) |
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