University of Arizona 1 credit Nutrl Sci & Wellness, Sch of
This course will provide students with practical research scenarios and data sets on which to practice statistical techniques commonly used in nutritional sciences research such as t-statistic for mean comparisons, ANOVA and factorial ANOVA, regression modeling for continuous data, categorical data, count data and percentage data, and repeated measures analysis for longitudinal data. Non-parametric techniques, mixed linear modeling and power analysis will also be discussed.
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