asympTest is an R package implementing large sample tests and confidence intervals. 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.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Coeurjolly, et al., "asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples", The R Journal, 2009
BibTeX citation
@article{RJ-2009-015,
author = {Coeurjolly, J.-F. and Drouilhet, R. and Micheaux, P. Lafaye de and Robineau, J.-F.},
title = {asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples},
journal = {The R Journal},
year = {2009},
note = {https://doi.org/10.32614/RJ-2009-015},
doi = {10.32614/RJ-2009-015},
volume = {1},
issue = {2},
issn = {2073-4859},
pages = {26-30}
}