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Sep 20, 2024
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2016-2017 Catalog [ARCHIVED CATALOG]
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MATH 5500 - Regression ICredits: 3 This is an applied linear regression course that will initially focus on strengthening the student’s undergraduate background in statistics. Topics for this section will include: sampling distributions, point estimates, confidence intervals, hypothesis testing, ANOVA, and sample size calculations. The second part of the course will introduce maximum likelihood estimation and topics in linear and non-linear regression. The course will blend hands-on data analysis and a theoretical framework. Prereq: Undergraduate Statistics. Acceptance into the Masters in Mathematical Sciences program and/or instructor permission. lecture hours 3 Course/Lab Fee $
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