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May 12, 2024
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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. SP
Prerequisite(s): Competency in algebra. Some knowledge of basic statistical methods is helpful but not required.
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