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Course: B(E)MA 140B01/B02 – Statistical Analysis and Business Decision I - W2013 Professor: Kyung Young Lee Class schedule: Jan 09th ~ April 10th, Mon & Wed / 13:30 ~ 14:50 (B01) and 15:00 ~ 16:20 (B02) Rooms: Classroom: Hamilton 302 / Office: Divinity 39 (Writing center building 3rd fl.) Email: [email protected], [email protected] Office hours: Mon 16:30PM-18:30PM; Wed 11:20AM-13:20PM; by appointment COURSE DESCRIPTION: Statistical data are either reported or interpreted in almost any journal and daily newspaper. Whether as a consumer or a future professional who performs data analysis, today’s world requires you to have a good understanding of the basic concepts of Probability and Statistics. The communication of the results in writing is as important as the numerical values obtained. This course has three parts: Descriptive Statistics, Fundamentals of Probability Theory, and Probability Distributions. Each part must be well understood before attempting the next one. It is extremely important to work alone, not in groups. Once you tried to solve the problems, you may wish to compare your solutions with your classmates or request help from the instructor, the Math Help Center, the Business Help Center, or your friends. We will use five teaching materials, in order to improve students’ learning: 1) Textbook, 2) Power point slides, 3) hand-out materials, 4) Scientific Calculator, 5) MS Excel TEXTBOOK and other Teaching materials Textbook: “APPLIED STATISTICS IN BUS & ECON (W/CD)(CANADIAN ED)” by Doane Scientific Calculator: Scientific Calculator: Sharp EL531WBBK, Sharp EL-W516B / Sharp ELW535B / Sharp EL-506WBBK / Sharp EL-520 (very important!) MS Excel (Optional): Bring your own Laptop in class GRADING SCHEME: Assignments (4x6%) Midterm (Oct 22 in class) Final examination (TBA) 24 % 26 % 50 % 100 % NOTES: Please turn off any electronic communication device during class Due to the class size, the date of the midterm exam will not be rescheduled Class materials, assignments, announcements can be found on Moodle. Please refer to it for any updates or new information A score of at least 50% in the final exam is required to pass the course. The final exam is a comprehensive test covering the entire course. The assignments are individual and will cover topics previously discussed in class. The assignments must be handed on time (at the beginning of the class on due date); otherwise a grade of zero will be given. Hand in your work in order, stapled and clean. Do not send your assignments by email. Please read the academic calendar section concerning plagiarism at http://www.ubishops.ca/fileadmin/bishops_documents/admin_governance/u_policies/Policy% 20on%20Academic%20Integrity.pdf There is no supplemental examination COURSE SCHEDULE and IMPORTANT DATES No 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 DATE Jan 09 Jan 14 Jan 16 Jan 21 Jan 23 Jan 28 Jan 30 Feb 4 Feb 6 Feb 11 Feb 13 Feb 18 Feb 20 Feb 25 Feb 27 16 17 18 19 20 21 Mar 11 Mar 13 Mar 18 Mar 20 Mar 25 Mar 27 22 23 24 NA Apr 03 Apr 08 Apr 10 TBA TOPICS Chapter Introduction and Overview of Statistic 1 Data Collection and Data Distribution 2, 3 Descriptive Statistics 4 Descriptive Statistics 4 Descriptive Statistics / Probability 5 Probability 5 Probability 5 Probability 5 Probability 5 Probability 5 Mid-term Prep 1 1~5 Mid-term Prep 2 1~5 Midterm (H302, in Class) 1~5 Discrete Probability Distribution 6 Discrete Probability Distribution 6 No class (Reading week, March 04 ~ 08) Discrete Probability Distribution 6 Continuous Probability Distribution 7 Continuous Probability Distribution 7 Continuous Probability Distribution 7 Continuous Probability Distribution 7 Sampling Theory 8 No class (Easter Monday, April 1) Sampling Theory 8 Final-term prep 1 1~5 Final-term prep 2 6~8 FINAL EXAM (Comprehensive) 1~8 ASSIGNMENT Assignment #1 Released Assignment #2 Released Assignment #1 Due Assignment #2 Due Assignment #3 Released Assignment #4 Released Assignment #3 Due Assignment #4 Due Replacement for Apr 1 2