One and two sample mean and variance tests (differences and ratios) are considered. The test statistics are all expressed in the same form as the Student t-test, which facilitates their presentation in the classroom. This contribution also fills the gap of a robust (to non-normality) alternative to the chi-square single variance test for large samples, since no such procedure is implemented in standard statistical software.
|Date of publication||2018-05-10 12:15:54 UTC|
|Maintainer||Pierre Lafaye de Micheaux <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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