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STAT 483: Empirical Methods for the Computational Sciences

(Dual-listed with STAT 583). (3-0) Cr. 3. F.

Prereq: STAT 330 or an equivalent course, MATH 166, knowledge of linear algebra.
Statistical methods for research involving computers; exploratory data analysis; selected topics from analysis of designed experiments - analysis of variance, hypothesis testing, interaction among variables; linear regression, logistic regression, Poisson regression; parameter estimation, prediction, confidence regions, dimension reduction techniques, model diagnostics and sensitivity analysis; Markov chains and processes; simulation techniques and bootstrap methods; applications to computer science, bioinformatics, computer engineering - programs, models and systems as objects of empirical study; communicating results of empirical studies. Statistical software: R. Credit for only one of STAT 430, STAT 483, or STAT 583 may be applied to graduation. May not be used for graduate credit in the Statistics MS and PhD degree programs.


The curriculum in liberal arts and sciences with a major in statistics is designed to prepare students for (1) entry level statistics positions in business, industry or commerce, nonprofit institutions, and in state or federal government; (2) graduate study in statistics. Entry-level positions include the following types of work: statistical design, data visualization, analysis and interpretation of experiments and surveys; data processing and analysis using modern computation facilities and statistical computing systems; application of statistical principles and methods in commercial areas such as finance, insurance, industrial research, marketing, manufacturing, sports analytics, and quality control and in nonprofit organizations such as large health study institutions.