SYLLABUS STATISTICS FOR ENGINEERS: EE 517 Spring 2016 Spring 2016 Dr. Brandon Franzke Lecture: Friday 2:00 - 4:50 pm Office: EEB 420 email: [email protected] Hours: Tu 6 – 8 voicemail: (213) 740 - 2356 Fri 5 – 6 Course Summary : The course presents modern statistics with engineering applications. Emphasis is on statistical reasoning . Each student must develop and present a novel application of statistical multiple regression—on-site attendance is mandatory. Required : Mendenhall, W., and Sincich, T., Statistics for Engineering and the Sciences , 5 th edition, Prentice Hall, 2007. Required : Hogg, R. V., and Tanis, E. A., Probability and Statistical Inference , 8 th edition, Prentice Hall, 2010. Recommended : Field, A., Discovering Statistics Using SPSS , 4 th edition, Sage, 2013. Recommended : Carlin, B. P., and Louis, T. A., Bayesian Methods for Data Analysis , 3 rd edition, CRC Press, 2009. COURSE OUTLINE JAN 15 Overview of statistics. Probability review. JAN 22 Sampling distributions. JAN 29 More sampling distributions. Point estimation. FEB 5 Confidence intervals. FEB 12 Hypothesis testing. FEB 19 MIDTERM I. Tests for probability densities. Contingency tables. FEB 26 Sufficient statistics. Cramer-Rao bound. Ratio hypothesis tests. MAR 4 Sequential tests. Linear regression. Heteroscedasticity. MAR 11 Multiple regression. Multicollinearity diagnostics. MAR 18 No class: Spring Break.
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