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Department of Mathematics and Statistics College of Engineering and Mathematical Sciences University of Vermont STAT 143 – Statistics for Engineering Instructor Spring 2015 Bernard “Chip” Cole, PhD Professor of Statistics 104 Mansfield House, 25 Colchester Ave. E-mail: <bfcole@uvm.edu> Tel: 656-0054 Office Hours 1:00 PM – 2:00 PM Tuesdays or by appointment Teaching assistant Lucy Greenberg Graduate Student in Statistics E-mail: <lgreenb1@uvm.edu> TA office hours to be announced Catalog Description Data analysis, probability models, parameter estimation, hypothesis testing. Multifactor experimental design and regression analysis. Quality control, SPC, reliability. Engineering cases and project. Statistical analysis software. To help students develop an understanding of statistical thinking and to enable students to apply and interpret basic statistical techniques in the context of engineering. Objectives Prerequisites Math. 12, 14, 20 or 22 Required Text Statistics for Engineers and Scientists, 4rd edition by W. Navidi Meeting times Tues./Thurs. 4:00 PM – 5:15 PM Classroom Rowell 118 Assignments There will be 8 assignments graded as pass/not pass. Examinations There will be three exams (two midterms and one final) and three 20-minute quizzes. You will need a scientific calculator for each exam and quiz. All tests will be closed book and no notes. Selected formulas will be provided. The quizzes and midterms are generally not cumulative. The final exam will be cumulative. Software JMP version 11.0 (available at https://www.uvm.edu/software/) Website Blackboard (http://bb.uvm.edu) Grading Your grade will be based on assignments (5% total), three quizzes (10% each), two midterm exams (20% each) and the final exam (25%). Letter grades will be assigned as follows: 97 to 100: A+; 93 to 96: A; 90 to 92: A–; 87 to 89: B+; 83 to 86: B; 80 to 82: B–; 77 to 79: C+; 73 to 76: C; 70 to 72: C–; 67 to 69: D+; 63 to 66: D; 60 to 62: D–; 59 or less: F. 1 STAT 143 SYLLABUS Date Topic(s) 1/13 1/15 1/20 1/22 Sampling and Descriptive Statistics Basic Ideas of Probability Counting Methods Conditional Probability and Independence; Assignment 1 due Conditional Probability and Independence Random Variables; Quiz Random Variables Linear Functions of Random Variables; Assignment 2 due Review of Probability Exam Binomial Distribution Poisson Distribution; Assignment 3 due Normal Distribution Central Limit Theorem; Quiz Confidence Intervals for Population Mean–Large Sample Confidence Intervals for Proportions; Confidence Intervals for Population Mean–Small Sample; Assignment 4 due Introduction to Hypothesis Testing Hypothesis Tests for Population Means–Large Sample; Hypothesis Tests for Proportions; Assignment 5 due Hypothesis Tests for Population Means–Small Sample; Comparing Two Means–Large Sample Hypothesis Tests for Comparing Two Proportions; Comparing Two Means–Small Sample; Tests for Paired Data; Assignment 6 due Tests for Categorical Data Exam Simple Linear Regression and Least Squares Uncertainty in Least Squares Estimation; Assignment 7 due Correlation Transformations; Quiz Distribution-Free Tests Introduction to Multiple Regression; Assignment 8 due Review Final Exam 4:30 PM – 6:30 PM in Rowell 118 1/27 1/29 2/3 2/5 2/10 2/12 2/17 2/19 2/24 2/26 3/10 3/12 3/17 3/19 3/24 3/26 3/31 4/2 4/7 4/9 4/14 4/16 4/21 4/23 4/28 5/5 2 Reading (text chapters) 1 2.1 2.2 2.3 Pages in Notes 1–13 14–24 24–30 31–36 2.3 2.4 2.4 2.5 36–40 41–48 49–53 54–61 4.1, 4.2 4.3 4.5 4.11 5.1 62–70 71–76 77–93 93–98 99–106 5.2, 5.3 107–113 6.1 6.2, 6.3 114–120 121–131 6.4, 6.5 132–140 6.6–6.8 141–145 6.10 146–151 7.2 7.3 152–158 159–168 7.1 7.4 6.9 8.1 169–177 178–183 184–190