Abstract
For continuous data, various statistical hypotheses testing methods have been extensively discussed in the literature. In this article a review is provided of the multiple-sample continuous-data testing methods. It includes traditional methods, such as the two-sample t-test, Welch ANOVA test, etc., as well as newly-developed ones, such as the various Multiple Comparison Procedure (MCP). A roadmap is provided in a figure or diagram format as to which methods are available in the literature. Additionally, the implementation of these methods in popular statistical software packages such as SAS is also presented. This review will be helpful to determine which continuous-data testing method (along with the corresponding SAS code) are available to use in various fields of study, both for the design phase of a study in prospective study, cross-sectional, or retrospective study analysis and the analysis phase.
DOI
10.22237/jmasm/1493597220
Recommended Citation
Rahardja, D. (2017). A review of the multiple-sample tests for the continuous-data type. Journal of Modern Applied Statistical Methods, 16(1), 127-136. doi: 10.22237/jmasm/1493597220
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
