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.
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