Introductory Course, Syllabus for Business Statistics | BMGT 230B, Lecture notes of Business Statistics

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Business Statistics (BMGT 230 and BMGT 230B) SYLLABUS FALL 2014 Instructor: Dr. Radu Lazar Office: 4348 Van Munching Hall Office hours: MW 9:30a.m.-10:30a.m.,Tu 9:30a.m.-11:30a.m., and also by appointment Phone: 301-405-9977 (please email me instead of leaving voicemail) Email: rlazar@rhsmith.umd.edu TA’s: Dina Broydo (dinabroydo@gmail.com) Katherine Feng (crystal527@verizon.net) Sylviane Alexion (smalexion@icloud.com) Daniel Klein (dklein99@terpmail.umd.edu) Matthew Kramer (mkramer5@terpmail.umd.edu) Janae Savoy (jsavoy@terpmail.umd.edu) YuChiu Yeung (Tommy) (tyeung0330@gmail.com) Sunho Chang (sunhotkd@gmail.com) Kuang Jen Hsieh (Ben) (Kuangjen.hsieh@gmail.com ) Jessica Wang (jessicawang94@gmail.com) TA office: 4332N Van Munching Hall TA office hours: TBA If you need help with the class you can see me or any of the TA’s during the above office hours. Lecture: Where and When Sections 0101 – 0107: M, W 11:00 a.m. – 12:15 p.m., Van Munching Hall 1524 Sections 0201 – 0207: M, W 12:30 a.m. – 1:45 p.m., Van Munching Hall 1524 Sections 0301 – 0307: M, W 2:00 p.m. – 3:15 p.m., Van Munching Hall 1524 You should attend the section in which you are enrolled. Course description and objectives This is an introductory course in statistics whose main goal is to promote understanding of statistical reasoning and using numerical information to make judgments and decisions. You will learn to make sense of graphical and numerical presentations of data, to judge the reliability of results from studies, surveys and experiments, and to realize that in an uncertain world randomness and variation are to be expected. The methods and concepts studied will be presented in the context of the real-world problems in business and other real-world scenarios that can help students understand. Even though a bit of elementary probability will be introduced, the math will be kept at a level such that calculus is not required. Required textbook Print Package: Business Statistics: A First Course 2nd edition by Norean R. Sharpe, Richard D. De Veaux and Paul F. Vellman text book + mystatlab access code card ISBN: 0321946332 Digital Package: Mystatlab access code card with etext for Business Statistics: A First Course 2nd edition by Norean R. Sharpe, Richard D. De Veaux and Paul F. Vellman ISBN: 0321921461 The textbook should come with a code for MyStatLab, an online course management system, which includes a plethora of course materials for this class, and also an electronic textbook. If the online textbook is good enough for you then you can just purchase the digital package. For accessing the ebook you can do so within the MyStatLab course or you can download the free app “Pearson etext” (Pearson Mylabs/Mastering Etext) and then enter your login credentials and have it digitally for offline use on your tablet or smart phone. MyStatLab is required for this class because it will be the place where you complete the online homework assignments. You can register for it on CANVAS. Please read the additional instructions on how to register for MyStatLab. Course website The website for this course is hosted on CANVAS and can be found at http://www.elms.umd.edu. A university ID and password are required to access ELMS courses. Students are required to maintain their current email address in Testudo as CANVAS uses this address to send course-related email messages. Software We will be using StatCrunch which comes with the textbook. It is an online user-friendly piece of software that can be accessed either at http://www.statcrunch.com or inside the homework manager MyStatLab. Calculator A basic 5-function calculator is necessary for this course. Programmable calculators (i.e. TI models) will also be allowed but you are responsible for knowing how to use them. Grading Your grade will be determined by a weighted average of homework, discussion activities and exams as follows: Discussion session activities 10% Homework 10% Midterm Exam 1 24% Midterm Exam 2 24% Final Exam 32% Suppose that a student obtained the following scores: Discussion session score (70) Homework score (90), Midterm1 score (80), Midterm 2 score (90) Final score (80) The student’s course average will be computed as follows: The University of Maryland’s Code of Academic Integrity is designed to ensure that the principles of academic honesty and integrity are upheld. All university students are expected to abide by the code. All acts of academic dishonesty will be handled according to the Code. Additional information can be found at http://www.studenthonorcouncil.umd.edu. On each exam you will be asked to write out and sign the following pledge: `` I pledge on my honor that I have not given or received any unauthorized assistance on this exam “ Since BMGT230 is a very large class please be respectful of everyone else in the classroom. Please switch off your cell phones while class is in session. The DEADLINE for reporting any inaccuracies in homework/discussion/exam scores is December 14. Tentative schedule (subject to change except for the test dates) September 3 Syllabus, MyStatlab, Chapter 1 - Statistics and Variation September 8 Chapter 2 - Data, Chapter 3 – Surveys and Sampling September 10 Chapter 4 - Displaying and Describing Categorical Data September 15 Chapter 5 - - Displaying and Describing Quantitative Data (without section 5.10*) September 17 Chapter 6 - Correlation and Linear Regression September 22 Chapter 6 - Continued September 24 Chapter 7 - Randomness and Probability (without section 7.9*) September 29 Chapter 7 - Continued October 1 Chapter 8 - Random Variables and Probability Models October 6 Review October 8 Midterm 1 (6:00p.m. – 7:15p.m., rooms: TBA) October 13 Chapter 8 – Continued October 15 Chapter 8 – Continued (without the geometric, Poisson, and uniform model) October 20 Chapter 9 - Sampling Distributions and Confidence Intervals for Proportions October 22 Chapter 10 - Testing Hypotheses about Proportions October 27 Chapter 10 – Continued (without section 10.10*) October 29 Chapter 11 - Confidence Intervals and Hypothesis Tests for Means November 3 Chapter 11 - Continued November 5 Chapter 12 - Comparing Two Groups November 10 Review November 12 Midterm 2 (6:00p.m. – 7:15p.m., rooms: TBA) November 17 Chapter 12 – Continued November 19 Chapter 12 – Continued (without section 12.6*) November 24 Chapter 14 - Inference for Regression November 26 Chapter 14 - Continued December 1 Chapter 14 - Continued December 3 Chapter 15 - Multiple Regression including ANOVA December 8 Chapter 15 - Continued December 10 Review December 13 Reading Day/ Makeup exam day December 15 Final Exam (7:00p.m. – 9:00p.m., rooms: TBA) Note: Not all sections of the listed chapters will be covered. It is your responsibility to keep track of the material that will be taught. Any change to the schedule, including the sections covered will be announced in class and on CANVAS