1 Course Syllabus - Statistics 201 (Fall 2015) Instructor: Melissa “Missy” Morris Course ID morris00227 Office: SMC 227 Office Hours: TBA e-mail: [email protected] _ Purpose: To give students from throughout the university an introduction to the application of modern statistical methods including descriptive and inferential statistics. To show students that statistics is an important tool in many different disciplines, and is an important research tool. Description: Introduction to Statistics (3 credit hours) (Prereq: Mathematics 125, Mathematics 141, or Mathematics 152) Course demonstrates data collection techniques, graphical and numerical summaries of data, introduction to probability and probability distributions, normal distributions, inference for a single mean, a single proportion, difference in means using confidence intervals and hypothesis testing, simple linear regression and correlation, association between categorical variables, the use of pivot tables in Microsoft Excel, and Decision Trees. Textbook: The Course Management System (see below) gives student access to the ebook version of Intro Stats (4th ed.), by DeVeaux, Velleman and Bock, Pearson Education, Inc, 2014. Be cautious when buying this text from a source other than the University Bookstore or directly from Pearson as you MUST purchase the student access code in order to complete online assignments. Course Notes: Course lecture notes will be available within the Course Management System (see below) for you to print and bring to class. We recommend printing no more than two slides per page. Calculator: Each student will need a calculator with at least a square root function. Scientific calculators (such as a TI-84) are not necessary, but allowed. Cell phones and any device that has the capability to store files and/or connect to the internet must be stored out of your sight during in-class quizzes or exams. Failure to comply with these requirements is considered academic dishonesty. If you have any concerns about using your particular calculator or device during in-class quizzes and exams, see your instructor before the first in-class quiz or first exam, whichever comes first. Course Management System: http://pearsonmylabandmastering.com/. MyLab/Mastering is an online course management system where announcements and course documents will be posted, and where you will do online homework and online “quizzes”. Access to MyLab/Mastering is part of the bundled custom editions of the textbook available in the UT bookstore and other local bookstores. Your grades on online assignments, as well as in-class quizzes, exams and projects will be posted in MyLab/Mastering. MyLab/Mastering and all of its components are compatible with both PC and MAC operating systems. Access to MyLab/Mastering is a required component of this course. Note: if you purchase an access code from the bookstore, please enter your access code in ALL CAPITAL LETTERS. Also, when registering for MyLab/Mastering, when asked for your first and last name, please enter these as they appear on your UT student ID. MyStatLab (MyMathLab): After logging into MyLab/Mastering, you will click the link for this course under Courses. Clicking on “DO HOMEWORK” or “TAKE A QUIZ” takes you to MyStatLab (actually labeled MyMathLab). This is where you will do online homework and take online quizzes. Technical support for MyMathLab is available at 1-800-677-6337 Mon-Fri, 8am-8pm, and 24 hours a day, 7 days a week at http://www.mymathlab.com/student-support.2 Computing: JMP Pro (version 12.0.1) statistical software will be used throughout the course. Both PC and MAC versions can be downloaded for free at the following web address: https://webapps.utk.edu/OIT/SoftwareDistribution/. After logging into this site, click on “SAS”, then select JMP Pro 12.0.1 for Windows or JMP Pro 12.0.1 for Mac. Scroll up or down to see the “Download selected item” button. Additional instructions for downloading and installing this software can be found at http://web.utk.edu/~cwiek/JMPinstall/, and at the “STAT 201 at UTK” YouTube channel. We strongly encourage you to obtain this software for your own computer. However, JMP software can also be accessed at many of the computing labs on campus, and through the “APPS Server” at http://apps.utk.edu/ "Clickers" (Personal Response System): We will be asking you to answer questions in class using UT's Personal Response System (commonly known as "Clickers"). The quality of your answers account for 5% of your overall grade. Additionally, points will be added to your exam 3 score based on how much you participate (regardless of the quality of your answers): the more you use your clicker in class, the more points we will add to your exam 3 score. Your clicker grades and “participation days” will be downloaded into Blackboard each day we use them (which will be almost every day, beginning soon). If you don't have a clicker, they are available in the bookstore. More information about clickers can be found at https://oit.utk.edu/instructional/tools/clickers/Pages/default.aspx. Cases of students using multiple clickers in the classroom will result in all involved parties receiving an “F” in the course, as well as any other actions the Academic Review Board sees fit. NEVER lend your clicker to anyone for any reason.3 Topics and Exam Schedule: Chapter Topics Ch. 1 Stats Starts Here Ch. 2 Displaying and Describing Categorical Data Ch. 3 Displaying and Summarizing Quantitative Data Class notes Pivot Tables Ch. 4 Understanding and Comparing Distributions Ch. 5 The Standard Deviation as a Ruler and the Normal Model Ch. 6 Scatterplots, Association, and Correlation Ch. 7 Linear Regression Ch. 8 Regression Wisdom Exam 1 (6:30 pm – 8 pm, Thursday, September 24, 2015) Chapter Topics Class notes Decision Trees Ch. 9 Understanding Randomness Ch. 10 Sample Surveys Ch. 12 (pgs. 339-348) From Randomness to Probability Ch. 15 (pgs. 399-406) Sampling Distribution Models for Proportions Ch. 15 (pgs. 407-418) Sampling Distribution Models for Quantitative Data Exam 2 (6:30 pm - 8 pm, Tuesday, October 27, 2015) Chapter Topics Ch. 16 Confidence Intervals for Proportions Ch. 17 Testing Hypotheses About Proportions Ch. 18 Inferences About Means Ch. 19 Further Issues About Hypothesis Tests Ch. 20 (pgs. 552-560) Comparing Groups (Only sections 20.5 &
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