RES 1045 - Fundamental Statistics for Practitioner Scholars

This course is designed to impart a depth of understanding, as well as a practical grasp, of the range of statistical methods used in basic science and applied research. Areas covered include organizing datasets; producing descriptive statistics; testing hypotheses with inferential statistics; and interpreting the results, including output from statistics software, to determine how they relate to research questions being asked. Among the procedures covered are t tests, ANOVA, chi-square tests, nonparametric statistics, and regression. No prerequisites; extensive mathematical training is not required. Open to doctoral students, but does not meet a doctoral level research requirement. 3 credit(s)

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