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Learner Outcome
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Activity (optional)
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Assessment
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Evaluate theoretical properties of multiple regression models, including underlying model assumptions and model construction.
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Homework and in-class exercises will ask students to work with the mathematical properties of regression models.
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Graded homework exercises; final exam.
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Estimate multiple regression models.
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Statistical lab exercises will ask students to estimate multivariate regression models.
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Graded statistical lab reports, exams.
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Evaluate the appropriateness and fit of a statistical model, particularly multiple regression model, and interpret the model in context.
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Lab exercises will ask students to evaluate the fit of multiple regression models and interpret the model in the context of the particular data set.
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Graded statistical lab reports, exams.
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Estimate ANOVA models, and interpret the results.
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Lab exercises will ask students to estimate ANOVA models and interpret the model in the context of the particular data set.
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Graded statistical lab reports, exams.
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Propose a major statistical project, choosing appropriate questions to be answered and appropriate statistical tools.
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Students will submit a proposal for a major statistical project (the project itself will be completed in Math 410B).
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The project proposal will be graded in part on the appropriateness of the statistical questions and the tools proposed to be used.
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Communicate statistical results clearly orally and in writing.
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Students will submit written lab reports, a formal project proposal, and an oral presentation of their project proposal.
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The proposal and oral presentation of the proposal will be graded in part on the quality and clarity of the writing and presentation.
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