Department of Humanities, Sciences, Social Sciences and Health Sciences(310) 825-7093Quarter: Fall 2011Introduction to Statistical ReasoningStatistics XL 10Reg# W6933# Units: 5Instructor: Jiashen You, C. Phil (jiashen[AT]ucla[DOT]edu)Dates: September 19 – December 5Days/Time: Mondays, 7:00PM - 10:00PM, Math Sciences Bldg. 5200Office Hours: Monday, 6.00 - 6.50PM, at Math Sciences 8105 or by appointmentCourse Website: http://www.stat.ucla.edu/~jiashen/teachingCourse Description: Introduction to statistical thinking and understanding, including strengths and limitations of basic experimental designs, graphical and numerical summaries of data, inference, re-gression as descriptive tool. Goals & Learning Objectives: The overall goal of this class is to introduce you to the discipline of statistics as a science of understanding and analyzing data and not as a branch of mathematics. This class is de-signed to provide you with the tools you need for solving real world problems using stat-istics and a better understanding of the process of scientific research and statistical infer-ence. Required Text: Intro Stats by De Veaux, R. D., Velleman, P.F., and Bock D.E. Addison Wesley, 3rd Edi-tion, 2008, ISBN: 0-321-50045-8All other course materials will be posted on the class website and/or handed out in class.UCLA Extension Contact for this Course: Megan Van Ness, Program Representative, 310-825-7093.Student Records: Students can access and update student records online by visiting: http:// www.uclaextension.edu and clicking on My.Extension on the left navigation bar, selectingStudent's Course Essentials, and following the directions to log in.Student's Course Essentials lets you view your grades, request an official transcript,change credit status on a current course, obtain enrollment verification, update your personal in-formation, and much more.Student Conduct: By enrolling in this course, all students are expected to have reviewed the Student Con-duct and Sexual Harassment information provided in the current Quarterly catalog (print or online) under “General Information.”Any instances of academic dishonesty will be taken very seriously. At a minimum you will lose all points for that particular assignment. Additionally, there may be penalties to your final class grade along with being reported to the Dean’s Office. Please review the Student Guide to Academic Integrity at http://www.deanofstudents.ucla.edu/StudentGuide.pdf.Accommodations: If you need any accommodations for a disability, please contact the UCLA Extension Dis-abled Student Services at: (310) 825-7851 or via e-mail [email protected]/Calculator: You will be using an open-source software called R to complete portions of lab assign-ments. You may download it for free at http://cran.stat.ucla.edu/.You are required to have a calculator and to bring it to every lecture and discussion, quizzes and exams. No extra calculators will be supplied during exams. Policies:1. If you cannot make to the midterm and/or final exam, you are advised to drop the course or take one scheduled on a different day.2. You need to bring a valid form of picture ID on scheduled days of exams. You will not be allowed to take the final exam without one.3. There are no make up for any homework/lab/quiz/exam. All assignments are due at the beginning of the lecture (by 7:15PM) on the scheduled due day. Your assignments must be stapled, legible, and contain your name.4. The use of any other electronic devices is strictly banned and if you will be reported for cheating if caught for using them during exams. Please turn off all your electronic devices during exams.Grading:Course grades will be based on the following: Homework/Lab (14%) – Each homework is 2.5%. Labs are 3% and 1%.Quiz (20%) – The lowest score is dropped.Midterm Exam (26%)Final Exam (40%)Total Points for the Course (Estimate): 100% # Points Assignment/ExamLetter Grade Equivalent (may be revised at the instructor's discretion):A (83-100%) 83 points (roughly 25%)B (65-82.99%) 65 points (roughly 35%)C (50-64.99%) 50 points (roughly 30%)D (40-49.99%) 40 points (roughly 10%)F (<39.99%)All grades are final when filed by the instructor on the Final Grade Report.Course OutlineMeetings Book Chapters Topics12 – 4Data: describe, summarize & displayLab 1 posted25, 6The Normal Model36, 11 - 13Experimental DesignIntroduction to DistributionsQuiz 1 at the end of the classHW 1 due at the start of the class413, 14, 15Probability Basics and Bayes Theorem515, 16, 17* Probability (Cont.), Expected Value, VarianceQuiz 2 at the end of the classReview6 Midterm (up to Ch 16)Lab 1 due at the start of the classHW 2 due at the start of the class77, 8, 9Correlation AnalysisLinear Regression818, 19Central Limit TheoremSampling DistributionQuiz 3 at the end of the class920, 21Confidence IntervalsInference About Population Proportion(s)HW 3 due at the start of the class1021, 22, 23Hypothesis TestingQuiz 4 at the end of the classLab 2 due at the start of the class1123, 24*Inference About a Population MeanComparing Two Population Means (optional)ReviewQuiz 5 12 Final examHW 4 due when you walk in(Updated November 23, 2011)It is estimated students will spend approximately 6-9 hours outside class each week completing class assignments, readings and studying for exams. Course Syllabus Subject to Change by the