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Apr 29, 2024
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Course Catalog 2019-2020 [ARCHIVED CATALOG]
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MATH 251 - Methods of Data Analysis Second course in statistics for scientific, business and policy decision problems. Case studies are used to examine methods for fitting and assessing models. Emphasis is on problem-solving, interpretation, quantifying uncertainty, mathematical principles and written statistical reports. Topics: ordinary, logistic, Poisson regression, remedial methods, experimental design and resampling methods. Michael Kahn
Prerequisites MATH 141 or MATH 151 or AP Statistics credit or Permission of Instructor
Credits 1
Area Math and Computer Science
Foundation Quantitative Analysis
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