7280 Su19 Sy revised PDF

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Statistical Methods in Engineering, IE7280 Semester: Summer 2 2019 Instructor: Professor Fard: Office hours: by appointment Office: 317 SN, e-mail: [email protected] Prerequisite: IE6200 or equivalent TA: Kunmei Li: Office Hours: Monday, Wednesday, 01:30 – 02:30, or by appointment. Office: 358 SN, e-mail: [email protected] Textbook: Probability & Statistics for Engineers and Scientists by Walpole, Myers, Myers and Ye, Ninth Edition, Prentice Hall/Pearson, ISBN 978-0-321-62911-1, 2012. Reference: Probability & Statistics for Engineers and Sciences by Jay Devore, ninth edition, Cengage Leaning, ISBN 978-1-305-25180-9, 2015. Probability & Statistics for Engineers and Scientists by Walpole, Myers, Myers and Ye, Ninth Edition, Prentice Hall/Pearson, ISBN 978-0-321-62911-1, 2012. Statistics and Data Analysis, by: A. C. Tamhane and D. D. Dunlop, (ISBN 0-13744426-5). Applied Statistics and Probability for Engineers, by D. Montgomery and G. Runger, Fifth edition. Course Description and Objectives: Discusses statistical models for analysis and prediction of random phenomena. Topics include review of descriptive statistics, Inference and hypotheses testing, linear models, both Regression and ANOVA. Introduces design of experiments with single and multiple factors of interest, and distribution-free procedures. Coursework: Homework assignments, one midterm and a final exam, with final grades: H.W. and projects: 30% Midterm exam 30% Final exam 40% Exams are closed book with limited access, closed notes. Assignments are intended to reinforce concepts of the course topics and to encourage students to keep up with the material. No makeup will be given for any missing assignments and exams. The exams will be held in Nu campus, unless you have an approved proctor and arranged a different exam time/location with the instructor or the TA. Homework: must be submitted on Wednesdays by 9:50 a.m. See the instructions on how to submit your H.W. and Projects on the assignment section of the Bb. The title of your H.W. should include IE7280, your name, assignment # and date. You will get a good grade if your solution is neat, organized, well presented and demonstrates understanding of the topic. You will earn an average grade if your solution is neat, organized, and well presented. For any questions related to your H.W. you must contact the TA first.

For On line accessibility questions contact: Mike Johnson Video Streaming / Online Programs Graduate School of Engineering 130 Snell Engineering Center Northeastern University Email: [email protected] Office: 617.373.2510 For computer related questions, including the blackboard access, contact the NU help desk, 24/7 at: (617)373-HELP Course Schedule

# Week 1

Topic Introduction to statistics, statistical intervals based on a single sample

Reading Chapter 7 and supplementary materials

1 1

Tests of hypotheses based on a single sample Inferences based on two samples, introduction to multivariate analysis The analysis of variance Multifactor analysis of variance Simple linear regression and correlation Midterm Wednesday 07/24 during 9: 55-11:25

Chapter 8 Chapter 9 and supplementary materials Chapter 10 Chapter 11 Chapter 12 Chapter 7-11 and supplementary materials Chapter 12 Chapter 13 Chapter 13 Chapter 14 Chapter 14

2 2 3 3 4 4 5 6 6 6 7

Simple linear regression and correlation Nonlinear and multiple regression Nonlinear and multiple regression Goodness-of-fit tests and categorical data analysis Project due 08/14 Goodness-of-fit tests and categorical data analysis Distribution-free procedures Final 08/19 during 9:50-11:30

Chapter 15 Chapter 7-15 and supplementary materials...