LOGOM 3300: Business Statistics Fall 2015

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1 LOGOM 3300: Business Statistics Fall 2015 The science of statistics is the chief instrumentality through which the progress of civilization is now measured and by which its development hereafter will be largely controlled. ~S.N.D. North Instructor Dr. Andrea Hupman Cadenbach Office: 232 Express Scripts Hall Office Hours: Tuesdays 1-2 pm and by appointment Lecture Section 001: Mondays and Wednesdays, 9:30-10:45 am, room 410 SSB Tutors Tutors will be available and will hold regular office hours. Details will be posted when they become available. Supplemental Instruction Supplemental instruction will be available in a program offered in collaboration between the College of Business and the Center for Teaching and Learning. Additional details about this opportunity will be posted when they become available. Prerequisites MATH 1100 (Calculus), MATH 1105 (Basic Statistics), and INFSYS 1800 With a grade of C- or better in each, and a 2.0 campus GPA Required Text Statistics for Business and Economics by Anderson, Sweeney, Williams, Camm & Cochran, 12 th edition (South-Western) Withdrawal Policy The last day to drop/withdraw without a grade is Sept. 21 st After that time, a grade of EX (excused) or F will be assigned, depending on the student s current score. No drops/withdrawals after Nov. 16 th The effective drop/withdrawal date is the date on which the student notifies the instructor in writing that he/she wishes to drop the course. However, the student must also officially drop/withdraw from the course. Course Web Site MyGateway will be used to post important announcements, documents, and homework assignments and solutions. Check it regularly. Page 1 of 5

2 Course Overview and Objectives How do companies make sense of data and understand the uncertainties they face on a daily basis? In this course, you will learn statistical methods that are used to analyze data and derive insights that can be leveraged for a competitive edge. Course topics include statistical inference, tests of goodness of fit, linear regression, correlation, multiple linear regression, model building, forecasting, analysis of variance, and design of experiments. Throughout the semester, students will Formulate and analyze problems based on data Construct statistical models and explain the significance of the results Evaluate the usefulness of statistical models and techniques Use statistical software such as Excel to conduct data analyses Appreciate the significance of probability and statistics in a business context Class Sessions Class will consist of lecture, discussions, and small group activities to enhance learning. Students are encouraged to ask questions during class. Questions facilitate discussion on topics and leads to better understanding for the entire class. Grading and Assignments Minute Papers These are short (1-3 min) in-class activities that are not graded. Minute papers are intended to help you reflect on the course material and to help the instructor determine where gaps in student understanding may be. To encourage honest reflection, you may turn in these assignments without your name on them if you prefer. Homework Assignments and Quizzes Homework problems will be assigned on a regular basis and may require the use of statistical software (Excel). The homework will not be graded but will have a suggested deadline. There will be short, in-class quizzes on topics covered in each homework assignment that coincide with each assignment s suggested deadline. Quizzes may be problem-based, conceptual, or both. Only your 10 highest quiz scores will be used to calculate your final grade. You may bring your completed homework to class to use during the quiz. Therefore it is suggested you stay on top of the course material and complete the homework in a timely manner. Ask questions if you do not understand a homework problem. Successful problem solution correlates positively with success in the course. Solutions to homework assignments will be posted following the in-class quiz. Correcting your own homework and analyzing any errors you have made is an excellent way to enhance your learning of the material. Page 2 of 5

3 Case Study There will be a case study assigned that will be analyzed in small groups. The case study will require the use of Excel. Each group will analyze the case and document their analysis, findings, and recommendations in a report. Exams There will be two midterm exams and one final exam. The second midterm will focus on material covered after the first midterm exam, but some topics from earlier may be covered. The final exam will be cumulative. You are permitted to bring one 8.5x11 page of handwritten notes to each exam. The page may have notes written on both sides of it. You may use a calculator for each exam. You must bring your own calculator; none will be available to borrow. Midterm 1: Wednesday, Sept. 30, in class Midterm 2: Wednesday, Nov. 11, in class Final Exam Attendance Attendance will not be taken. It is strongly recommended, however, that you attend all class sessions. If you are absent on a day when a quiz is given, there will be no makeup. Grading Your final grade will be calculated as a weighted sum according to the following percentages: Quizzes: 15% Case Study: 10% Midterm Exams: 25% each Final Exam: 25% Final letter grades will be assigned based on the following scale; however, the instructor reserves the right to modify the scale below based on class performance. Plus/minus grades will be assigned for scores within 2% points of the grade cutoff scores % A 80-89% B 70-79% C 60-69% D 0-59% F Course Policies We will follow all policies in the UMSL Student Conduct Policy (http://www.umsl.edu/~studentconduct/student%20conduct%20policy/index.html) Page 3 of 5

4 Accommodations Any student requiring special accommodations for any reason should contact the instructor as soon as possible. Students with disabilities who believe that they may need accommodations in this course are encourage to contact Disability Access Services in 144 Millennium Student Center at Information about your disability is completely confidential. Academic Integrity We will follow university regulations for academic integrity: (http://www.umsl.edu/services/academic/policy/academic-dishonesty.html). These standards will be enforced and infractions of these rules will not be tolerated. Such behavior includes sharing or copying any part of another student s quiz or exam, allowing another student to copy any part of your exam, or using an unauthorized aid on an exam. Infractions of academic integrity will result in a failing grade for the assignment and will be referred to the Vice Chancellor of Academic Affairs for further disciplinary action. The ONLY materials permitted during the quizzes are the student s own homework assignment and a hand-held calculator. The ONLY materials permitted during the exams are 1 sheet of handwritten notes and a handheld calculator. Absolutely no cell phones or electronic devices other than a hand-held calculator are permitted to be handled during quizzes and exams. Excused Absences If you have an excused absence that coincides with an exam, please notify the instructor as soon as possible, and at a minimum of two weeks before the absence. A make-up exam will be scheduled for excused absences that coincide with exam dates. No make-up quizzes will be scheduled. Early Alert Program The instructor participates in the UMSL Early Alert Program. Early alerts are electronic notes initiated when the instructor believes a student may be experiencing a barrier to success in the course. When an alert is raised, the student will receive an from Student Retention Services in an effort to help the student be successful. Mandatory Reporting Under Title IX, all UMSL faculty, staff, and administrators (with limited exception) are obligated to report any incidents of sexual harassment, sexual misconduct, sexual assault, or gender discrimination to the Title IX office and/or other University officials. This ensures that all parties are protected from further abuses and that victim(s) are supported by trained counselors and professionals. Note: There are several offices at UMSL (e.g. Counseling Services, Health Services, Community Psychological Service, Center for Trauma Recovery, and Student Social Services) whose staff are exempt from Title IX mandatory reporting when the information is learned in the course of a confidential communication. Page 4 of 5

5 Schedule The schedule for the course topics is tentative. Revisions may be made as necessary. Week Date Topics 1 Aug 24 Chps. 1-7 Review Probability 1 Aug 26 Chps. 7-9 Sampling, Estimation, Hypothesis Testing 2 Aug 31 Chp. 10 Inference on Means & Proportions Quiz 2 Sept 2 Chp. 11 Inferences on Variances Quiz 3 Sept 7 - Happy Labor Day No Class 3 Sept 9 Chp. 12 Tests of Goodness of Fit, Independence 4 Sept 14 Chp. 14 Linear Regression 4 Sept 16 Chp. 14 Continue Quiz 5 Sept 21 Last day to drop without a grade 5 Sept 21 Chp. 14 Continue 5 Sept 23 Chp. 14 Continue Quiz 6 Sept 28 Chp. 14 Continue 6 Sept 30 Exam 1 7 Oct 5 Chp.15 Multiple Regression 7 Oct 7 Chp.15 Continue Quiz 8 Oct 12 Chp.15 Continue 8 Oct 14 Chp.15 Continue Quiz 9 Oct 19 Chp.15 Continue 9 Oct 21 Chp. 16 Model Building Quiz 10 Oct 26 Chp. 16 Continue 10 Oct. 28 Chp. 16 Continue Quiz 11 Nov 2 Guest Lecture/Work on Case Study 11 Nov 4 Chp. 16 Continue Quiz 12 Nov 9 Chp. 16 Continue 12 Nov 11 Exam 2 13 Nov 16 Last day to drop. A grade of EX or F will be assigned. 13 Nov 16 Chp. 17 Forecasting 13 Nov 18 Chp. 17 Continue Quiz Page 5 of 5

6 Week Date Topics Week of Nov 23 Happy Thanksgiving No Class 14 Nov 30 Chp. 13 ANOVA and Design of Experiments 14 Dec 2 Chp. 13 Continue Quiz 15 Dec 7 Chp. 13 Continue 15 Dec 9 Chps Review Quiz Final Exam Section 001 Wed. Dec. 16, 7:45-9:45 am Page 6 of 5

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