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When testing for means there are two classical assumptions to be considered, normality and equal variances (equal covariance matrices). Historically more attention seems to be directed towards violation of the assumption of equal variances, which is referred to as the Behrens-Fisher problem, than the assumption of normality. Our attention is equally directed to both the issues. We propose a bootst
