|
|
Dec 26, 2024
|
|
RMD 500 - Statistical Methods for Research Credit(s): 3 Exposure to a wide variety of descriptive and inferential statistics. Topics presented will include measure of central tendency and dispersion, t-tests, ANOVA, correlation and regression, non-parametric methods. Experimental design techniques such as blocking will be discussed. Reading and interpreting journal articles that use some of the methods from the course will be included. Use of a statistical software package is integrated into the course. FA Prerequisite(s): Competency in algebra. Some knowledge of basic statistical methods is helpful but not required.
Add to Portfolio (opens a new window)
|
|
|