M3080-1, Applied Statistics II SYLLABUS (Spring 2016) 1 - 4 - 16 Lecture: MW, 10:45 - 11:35, AEB 350; Computer Labs: H, 3:40 - 5:00 or 2:00-3:20, LCB 115; Instructor: Dr. A.Treibergs, JWB 224, 581-8350 email: treiberg@math.utah.edu Class Web Page: http://www.math.utah.edu/~treiberg/M3083.html Office Hours: MW 11:45 - 12:45; T 10:45 - 11:45 (tent.) and by appointment Prerequisite: Math 3070, Applied Statistics I or consent of instructor. Texts: 1) Probability and Statistics for Engineering and the Sciences, by Jay L. Devore, 9th ed., (2015) ISBN-13: 978-1305251809; ISBN-10: 1305251806 2) Using R for Introductory Statistics, by John Verzani Chapman & Hall / CRC, 2005. ISBN-13: 978-1-584-88450-7 ISBN-10: 1-584-88450-9 Lab: Students will meet in the computer lab once a week for two hours. Students must pass the lab to pass the course. Homework: You will be asked to write up and hand in homework problems weekly. Midterms: There will be two full hour midterm exams on Feb. 10 and March 23. Questions will be modifications of homework problems. A makeup on a missed test will be given only when exceptional circumstances arise that are beyond a student's control. Except in the case of emergency, prior approval for a makeup must be obtained from the instructor. Final Exam: Wednesday, May 4 at 10:30 am - 12:30 pm in AEB 350 (the University's Scheduled time). Half of the final will be devoted to material covered after the second midterm exam. The other half will be comprehensive. Students must pass the final to pass the course. Class Project: A comprehensive project covering the course material and using the software programs discussed in the lab. This will be due on the last day of class, April 23. Course Grade: Based two midterm scores 30%, final 20%, homework 25%, semester project 15% plus lab 10%. Free Tutoring: The T. Benny Rushing Mathematics Tutoring Center offers free tutoring. Beginning the second week, tutoring will be available from 8am to 8pm Monday through Thursday and 8am to 6pm on Friday. Students in statistics courses should check the schedule to see when a tutor in statistics is available. Withdrawals: Last day to drop a class is Jan. 22. Last day to add a class is Jan. 22. Until Mar. 4 you can withdraw from the class with no approval at all. After that date you must petition your dean's office to be allowed to withdraw. ADA: The University of Utah seeks to provide equal access to its programs, services and activities for people with disabilities. If you will need accommodations in this class, reasonable prior notice needs to be given the Center for Disability Services, 162 Olpin Union Building, 581-5020 (V/TDD). CDS will work with you and the instructor to make arrangements for accommodations. All information in this course can be made available in alternate format with prior notification to the Center for Disability Services (www.hr.utah.edu/oeo/ada/guide/faculty/) Faculty and Student Responsibilities: All students are expected to maintain professional behavior in the classroom setting, according to the Student Code, spelled out in the Student handbook. Students have specific rights in the classroom as detailed in Article III of the Code. The Code also specifies proscribed conduct (Article XI) that involves cheating on tests, plagiarism and/or collusion, as well as fraud, theft, etc. Students should read the Code carefully and know they are responsible for the content. According to the Faculty Rules and Regulations, it is faculty responsibility to enforce responsible classroom behaviors, beginning with verbal warnings and progressing to dismissal from class and a failing grade. Students have the right to appeal such action to the Student Behavior Committee. Faculty must strive in the classroom to maintain a climate conductive to thinking and learning (PPM 6-316). Students have a right to support and assistance from the University in maintaining a climate conducive to thinking and learning (PPM 6-400). Note: The syllabus is not a binding legal contract. It may be modified by the instructor when the student is given reasonable notice of the modification. Course Content: This course is the second in a sequence of two that offer a comprehensive introduction to the concepts of probability and statistics. In this course, it is assumed that students have had an introduction to the basic notions of random variable, sampling distributions, simple confidence intervals, hypothesis tests and have a familiarity with the statistical package @R. The course will begin with a review of hypothesis testing. The main part of the course will focus on Analysis of Variance (Anova) for one and two factor experiments, Linear Regression (simple and multiple) Contingency Tables and Nonparametric Statistical Methods. Significant emphasis will be placed on running statistical tests using the statistical package R@ and others and interpreting output. Throughout the course, students will examine both the theory behind statistical decision-making and the practical application of these techniques to problems from different areas so that students can better appreciate the use of statistics in their personal and professional lives. The course material will be based on Chapters 10 - 15 of the text and corresponding assignments in the lab manual.