stat0083.ttests: Robustness of Student's t test for non-normality (one sample)

In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description

Robustness of Student's t test for non-normality is used

- to compute its statistic and p-value by calling function statcompute;

- to compute its quantiles by calling function compquant or many.crit;

- to compute its power by calling function powcomp.fast or powcomp.easy.

Author(s)

P. Lafaye de Micheaux, V. A. Tran

References

Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03

An Investigation of the Large-Sample/Small-Sample Approach to the One-Sample Test for a Mean (Sigma Unknown)

See Also

See Normality.tests for other goodness-of-fit tests for normality.

PoweR documentation built on May 2, 2019, 2:09 p.m.