QM6640: Statistical Analysis for Managers Syllabus - Section TXWA Fall Semester, 2011 SORRELL COLLEGE OF BUSINESS MISSION AND VISION STATEMENTS Mission Statement Through operations that span the State of Alabama, the United States, and the world, Sorrell College of Business equips our students with the knowledge, skills, abilities and competencies to become organizational and community leaders who make a difference in the global village and global economy. Through this endeavor, we serve students, employers, faculty, and Troy University at large as well as the local and global communities. Vision Statement Sorrell College of Business will be the first choice for higher business education students in their quest to succeed in a dynamic and global economy. Sorrell College of Business will create the model for 21st century business education and community service. INSTRUCTOR: Wendy C. Bailey, Ph.D. PREREQUISITE: All business foundation courses or equivalent. OFFICE HOURS: Mondays 1:00 - 4:00pm OFFICE LOCATION: 253 Bibb Graves Hall OFFICE TELEPHONE: 334-808-6327 334-670-3143 Secretary EMAIL: wcbailey@troy.edu (new email address!) WEB SITE: http://troy.blackboard.com TIME & LOCATION: Mondays, 5:30 - 8:15pm 201 Bibb Graves COURSE DESCRIPTION: This course provides an in-depth study of the fundamental theories, concepts, and principles of statistics. Coursework will include extensive use and application of statistical tools to analyzing business data using statistics software. Topics covered include descriptive statistics, probability distributions, sampling, estimation, hypothesis testing, ANOVA, and regression analysis. COURSE OBJECTIVES: Upon completion of the course, the student should be able to: 1. Compute descriptive statistics from business data. 2. Describe common discrete and continuous probability distributions, and compute probabilities for the various distributions. 3. Sample correctly and appropriately. 4. Estimate statistical parameters correctly. 5. Apply statistical hypothesis-testing procedures to business data. 6. Apply simple- and multiple-regression and forecasting techniques to business data. 7. Use statistical software to analyze business data. 8. Interpret results of statistical analyses and apply them to business decision-making. PURPOSE: To provide the statistical and computing tools necessary for managers’ analysis of business data and business decision-making. 1 TEXTBOOK: Doane, D. & Seward, L., Applied statistics in business and economics. McGraw-Hill. 3rd edition, 2011. ISBN: 0077398238. (NOTE: Campus bookstore edition includes access code for Connect Plus homework manager) IMPORTANT: You need to ensure you have the third edition of the book as it has been revised substantially. Older editions will not have the same problems nor will they have the same numbers, and even some tables have been changed substantially. OTHER MATERIALS: Connect homework manager access code (REQUIRED) - This is included in the textbook sold at the bookstore. If you purchase a used book, you'll need to purchase an access code from the Connect website. See Blackboard for the web site address. iClicker (REQUIRED). ISBN 0-716779390. This device will be used to for daily quizzes and must be brought to class each time in order to take the quizzes. The remotes can be purchased at the bookstore or you may be able to buy a used one from a student on campus. Microsoft Excel with MegaStat Add-in. This can be used in the computer labs on campus or through your own personal copy. You will need this to do some of the homework or projects assigned. Instructions given will be for MS Excel, so alternatives such as Open Office cannot be used as it doesn't contain add-ins such as the Data Analysis Toolpak or MegaStat. Various handouts will be posted in Blackboard. Students should check Blackboard frequently for new materials and print out what is required for class or assignments. ENTRANCE COMPETENCIES: 1. This course will be taught under the assumption that you have already taken a course in statistics and that you understand basic statistical concepts. If you have not met the prerequisite (see #2) or if your background is dated or poor, you should drop this course until you complete the prerequisite or take a refresher course. Understand that it is YOUR responsibility to ensure you have the necessary background before signing up. 2. This is a graduate course in the application of statistics to managerial problems. You must have taken at least one introductory course in statistics or the foundation class in quantitative methods before taking this class. This course must have been completed within the last eight years per the graduate catalog. 3. Students should be able to use spreadsheet programs such as Microsoft Excel for the purpose of doing analytical work. Though you’ll be taught how to use specific Excel tools or commands to analyze data statistically, it is assumed you already know how to use Excel to create formulas, enter data into cells, etc. 4. If you have any question about whether your skills are current enough or adequate, please contact the professor. Students who wish to do additional tutorial work to improve skills learned previously but may have forgotten might consider purchasing Hawkes Learning Systems. See Dr. Bailey for more information. CLASS PROCEDURE AND REQUIREMENTS: This course will be delivered in a lecture/discussion format. Primary delivery will through PowerPoint and overhead presentations. PowerPoint slides will be posted to the web site prior to class. Students should print the presentations and bring them to class to allow them to focus on the topic and to take more organized notes. Students must also bring their clickers to class each time so they can take the quizzes. GRADING METHODS & EXAMINATIONS: Final grades will be calculated as a weighted average as follows: 10% Daily Quizzes 25% Connect Homework & Projects 25% Midterm Exam 40% Final Exam – comprehensive (all chapters) The student's final grade will be determined using the traditional grading scale: A: 90-100, B: 80-89, C: 70-79, D: 60-69, F: Below 60. 2 DAILY QUIZZES: Quizzes will be given during each class session. You will be using a remote by iClicker in order to answer the questions, which will be in multiple choice format. More information will be provided in class. Students must bring their clickers to each class. If you forget your clicker, you will not be able to answer the quiz questions and will receive a zero for the quiz that day. Questions cannot be answered on paper and will not be graded that way. Questions will be given at random times throughout each class period. If you leave the class early or arrive late, you may miss some questions. Missed questions cannot be made up and will be scored as a zero. Your lowest two quiz scores will be dropped. If you miss a quiz, the missed quiz will be counted as one of your two drops. Missed quizzes cannot be made up. HOMEWORK & PROJECTS (Connect): In addition to the two in-class exams, students will complete homework problems using the Connect Homework Manager. Any late or missed assignments will be given a score of zero. See schedule at the end of the syllabus for due dates. See Blackboard for detailed instructions on how to use this homework management system. Some homework will require the use of Microsoft Excel to analyze large data sets. If you are unfamiliar with using Excel, use the tutorials provided in Blackboard and instructions included in the textbook itself. EXAM RULES: Exams will consist of multiple-choice questions, short answer essays, and problems, subject to the following rules: A standardized formula sheet and statistical tables will be provided by the instructor. Students are not permitted to bring or use any other written materials during the exam. Formula sheets are available in Blackboard prior to each exam so you know what you can refer to and what you will have to memorize on your own. A calculator will be provided in Blackboard during the exam as part of the secure Lockdown Browser. Translators or online translation websites may not be used during any examination. Tests will be delivered entirely on the computer. The problems and essays may be answered on paper provided by the instructor. Be sure to clearly label the question number you are answering on the blanks provided. The midterm exam will be reviewed in class, but students will not be permitted to print or keep a paper copy. Any exams (to include the final exam) can be reviewed further in the instructor's office during office hours. Cheating will be strictly dealt with! Any academic dishonesty will result in a course F and referral for disciplinary action. NO EXCEPTIONS. See the Incomplete/Missed work section of the syllabus for the policy on missed tests. DROP/WITHDRAWAL/FA POLICY: A WP or DP grade can only be given to students who drop by the academic penalty deadline and who have a C or better in the class; all other students will be given a WF or DF if they withdraw or drop after the academic penalty deadline and have less than a C in the course at the time they withdraw or drop. An FA grade will be given to students who miss 35% or more classes in the term without an excuse AND/OR those who miss any test without an excuse. In no event may a student drop or withdraw from the course after the final examination is completed and final course grades are assigned. 3 All grades will be earned -- NOT given. No tests will be dropped, no tests will be given less emphasis and no additional work will be given to boost final grades. Students needing a particular grade in this class to graduate, maintain a particular GPA level, keep a scholarship, etc., need to score high enough to earn the grade. Students should plan for computer failure by completing graded problem sets ahead of schedule. ATTENDANCE & STUDENT RESPONSIBILITIES: Students are expected to: 1. Punctually attend all scheduled classes. Students who miss quiz questions because they arrive late will receive a zero score on any questions not answered. 2. Be responsible for all instructions and assignments given in class as well as for the supporting textbook content. If you miss a class, do not email your professor asking what you missed. Similarly, do not come to my office expecting a private tutorial session covering the missed material. Finding out what you missed and getting a classmate's notes is your responsibility. 3. Read the textbook material before the lecture covering that material and attempt the suggested problems before the material is covered in class. 4. Be an active participant in this class while being respectful of everyone else in the class. 5. Stay for the entire class session. If you need to leave the class early, inform your instructor before the class begins. Understand that quiz questions may be given throughout the entire class, so if you leave early you may miss some questions and will get a zero score for any ones missed. 6. Complete assignments by the deadlines given in this syllabus and attend all examinations. 7. Cheating will be strictly dealt with. See the Honor Policy for details. Excused absences have the following characteristics: a. Instructor was informed prior to the absence. b. Instructor determines that the absence is excused. c. Absence is of one of the following types: i. Participation in a documented official University function that does not permit the student’s class attendance (e.g., athletic events, field trips, etc.). ii. Severe illness, a hospital stay, or a doctor's excuse saying that it is impossible for student to attend class(es). NOTE: This does not include scheduled medical or dental appointments or driving someone else to doctor. You should schedule appointments or personal errands outside of class time. iii. Death of immediate family member (parent, grandparent, sibling, or child, or spouse). iv. Appearance in court (if mandatory) v. Personal situations that are approved by the instructor in advance of the time the student is to be absent. d. Written documentation (on letterhead) must be provided at the first class session after the student’s return to classes. DAILY ASSIGNMENTS: INCOMPLETE/ MISSED WORK POLICY: See schedule below. INCOMPLETES: Students who request an incomplete must be passing the course (i.e., have a C or higher) to receive one. Incompletes must be requested before the last day of class and before the final examination is taken or course grade is assigned. MISSED WORK: 1. If a student will miss any test, they must notify the instructor in advance and provide acceptable written documentation within one week of the missed test. If they are unable to 4 notify the instructor in advance (e.g., they were in the hospital), they must notify the instructor as soon as they are able to return to class and provide acceptable written documentation on that day. If the absence is excused by the instructor, the percentage weight from the missed test will be added to the comprehensive final exam. No makeup exams will be given. If the absence is not excused by the instructor, the student will receive a zero for the missed test. 2. Assignments not submitted in Blackboard by the deadline without a pre-approved excuse will be given a zero. "Computer problems" do not constitute an acceptable excuse. GENERAL SUPPORT: The computer labs in Bibb Graves are available for student use when other classes are not in session. CHEATING POLICY: It is expected that students will abide by the Honor Code, Academic Code, Technology Use Policy, and Standards of Conduct as outlined in the most current version of the Oracle, the student handbook. Any student not abiding by these codes/policies/standards will be subject to the penalties outlined in the Oracle. AMERICANS WITH DISABILITIES ACT (ADA): Troy University supports Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, which insure that postsecondary students with disabilities have equal access to all academic programs, physical access to all buildings, facilities and events, and are not discriminated against on the basis of disability. Eligible students, with appropriate documentation, will be provided equal opportunity to demonstrate their academic skills and potential through the provision of academic adaptations and reasonable accommodations. Further information, including appropriate contact information, can be found at the link for Troy University’s Office of Human Resources at http://intranet.troy.edu/humanresources/documents/ADAPolicy2003.htm CELLPHONES AND OTHER ELECTRONIC DEVICES: Use of any electronic device by students in the instructional environment is prohibited unless explicitly approved on a case-by-case basis by the instructor of record or by the Office of Disability Services in collaboration with the instructor. Cellular phones, pagers, and other communication devices may be used for emergencies, however, but sending or receiving nonemergency messages is forbidden by the University. Particularly, use of a communication device to violate the Troy University “Standards of Conduct” will result in appropriate disciplinary action (See the Oracle.) In order to receive emergency messages from the University or family members, the call receipt indicator on devices must be in the vibration mode or other unobtrusive mode of indication. Students receiving calls that they believe to be emergency calls must answer quietly without disturbing the teaching environment. If the call is an emergency, they must move unobtrusively and quietly from the instructional area and notify the instructor as soon as reasonably possible. Students who are expecting an emergency call should inform the instructor before the start of the instructional period. COURSE OUTLINE AND DATES TO REMEMBER: The topics are listed in the approximate order in which they will be covered. Please note that this outline is subject to change. Any changes will be announced in lecture. If you miss a lecture, you are responsible for finding out what you missed, including any deadline or exam date changes. Homework is generally due on Sundays at 11:59pm Central time unless otherwise noted in the schedule or changed as announced in class. 5 DATE LECTURE CHAPTERS ASSIGNMENTS DUE Prior to start of course Ch. 1 Overview of Statistics Ch. 2 Data Collection Ch. 3 Describing Data Visually Introductory material that all students should read but already understand from a past course in statistics. We will not cover this material in lecture, but you will have homework assigned and you will be tested on it. LECTURE 1 Mon. 8/22/11 Course Introduction Basic concepts, Excel review Register for Connect Ch. 1-3 Connect Homework opens LECTURE 2 Mon. 8/29/11 Ch. 4 Descriptive Statistics Connect Homework: Ch. 1-3 DUE Sun. 9/4/11 Ch. 4 Connect Homework opens Mon. 9/5/11 NO CLASS – Labor Day Holiday Connect Homework: Ch. 4 DUE Sun. 9/11/11 LECTURE 3 Mon. 9/12/11 Ch. 5 Probability Ch. 5 Connect Homework opens LECTURE 4 Mon. 9/19/11 Finish Ch. 5 (if needed) Ch. 6 Discrete Probability Distributions (start) Connect Homework: Ch. 5 DUE Sun. 9/25/11 Ch. 6 Connect homework opens LECTURE 5 Mon. 9/26/11 Finish Ch. 6 (if needed) Ch. 7 Continuous Probability Distributions (start) Connect Homework: Ch. 6 DUE Sun. 10/2/11 Ch. 7 Connect homework opens LECTURE 6 Mon. 10/3/11 Finish Ch. 7 Connect Homework: Ch. 7 DUE Sun. 10/9/11 Mon. 10/10/11 MIDTERM EXAM covers Chapters 1-7 LECTURE 7 Mon. 10/17/11 Review Midterm Ch. 8 Sampling Distributions & Estimation Ch. 8 Connect Homework opens LECTURE 8 Mon. 10/24/11 Finish Ch. 8 (if needed) Ch. 9 One-Sample Hypothesis Tests (start) Connect Homework: Ch. 8 DUE Sun. 10/30/11 Ch. 9 Connect Homework opens LECTURE 9 Mon. 10/31/11 Finish Ch. 9 (if needed) Ch. 11 ANOVA (11.1 – 11.4 only) Connect Homework: Ch. 9 DUE Sun. 11/6/11 Ch. 11 Connect Homework opens LECTURE 10 Mon. 11/7/11 Finish Ch. 11 (if needed) Ch. 12 Simple Regression (12.1 – 12.7 only) Connect Homework: Ch. 11 DUE Sun. 11/13/11 Ch. 12 Connect Homework opens Lecture 11 Mon. 11/14/11 Finish Ch. 12 (if needed) Ch. 13 Multiple Regression Connect Homework: Ch. 12 DUE Sun. 11/20/11 Ch. 13 Connect Homework opens Mon. 11/21/11 NO CLASS – Fall Break (campus closed) LECTURE 12 Mon. 11/28/11 Finish Ch. 13 (if needed) Review for final exam Connect Homework: Ch. 13 DUE Sun. 12/4/11 Mon. 12/5/11 COMPREHENSIVE FINAL Covers all chapters * Connect Homework is generally due on Sundays at 11:59pm Central time unless otherwise noted in the schedule or changed as announced in class or email. 6 Dates to Remember Wednesday, 8/17: Classes begin Monday, 8/22: Add deadline; drop/withdraw deadline without financial penalty Tuesday, 8/23: Census date Monday, 9/5: Labor Day Holiday (campus closed, no office hours) Friday, 10/21: Last day to drop/withdraw WITHOUT academic penalty * Thursday, 11/11: Veteran’s Day Holiday (campus closed, no office hours) Monday, 11/21 - Sunday, 11/27: Fall/Thanksgiving Break (campus closed, no office hours) Tuesday, 12/6: Last day of classes Wednesday, 12/7: Dead Day; Drop/withdraw deadline WITH academic penalty** NOTES: * After this date, any student with less than a C in this graduate course will be given a grade of DF or WF if they file for a drop or withdrawal. ** Students may not drop or withdraw from the course after the final exam has been taken and final grades have been assigned, so in our course drops or withdrawals must be done prior to when the final exam is taken on 12/5/11. 7