Courses

MATH 233 Statistical Models

An introduction to the practice and theory of multivariate statistical modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression, and data mining. The R statistical software environment will be used extensively. Examples will be drawn from the social, biological, and physical sciences. Recommended background: three years of high school algebra and geometry, Math 115, or a minimum ALEKS score of 61. Meets the Quantitative Literacy requirement in the Goshen Core.

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