Quantitative Methods in Management - Department of Applied ...

Syllabus

Spring 2012

Quantitative Methods in Management INSTRUCTOR:

CLASS: OFFICE: OFFICE HOUR: PHONE: E-MAIL: WEB SITE:

Hongshik Ahn Professor, Department of Applied Mathematics and Statistics SUNY Stony Brook Vice President, SUNY Korea Sat 2:00-5:50 pm except 3/24, 3/31, 5/12 and 5/26, Room 227 Room 412 Fri 6-7 pm, Sat 6-7 pm or by appointment (O) 032-626-1010, (C) 010-9322-6161 [email protected] http://www.ams.sunysb.edu/∼hahn/course/emp504.html

TA: Hyejoo Lee OFFICE: Room 434 PHONE: 010-3800-2299 E-MAIL: [email protected] Text: Gerald Keller, Managerial Statistics (9th ed.), South-Western, Cengage Learning Chapters to be Covered: Chapters 1 through 16. Tentative schedule is given on p2. Course Goals: • You will become acquainted with methodologies used in statistical decision making. • You will learn how to apply these methodologies to model, solve and analyze problems encountered in the management of technological system. • You will gain ability to engage in lifelong learning. Homework: Assignments will be given in every lecture. Each homework is due the following class. No late homework will be accepted. The lowest two homework scores will be dropped before computing the average. Tests Exam I: April 7, last 1 hour of the lecture Exam II: April 28, last 1 hour of the lecture Exam III: June 2, last 1 hour of the lecture Final: June 16

1

Grading of Tests and Homework Grading will be based on the following: Homework (10%), Midterms (20% × 3 = 60%), and Final exam (30%) Any trend in your progress will also be taken into account. If you have a physical, psychological, medical or learning disability that may impact your course work, please contact Disability Support Services, ECC (Educational Communications Center) Building, room 128, (631) 632-6748. They will determine with you what accommodations are necessary and appropriate. All information and documentation is confidential. Students who require assistance during emergency evacuation are encouraged to discuss their needs with their professors and Disability Support Services. For procedures and information, go to http://www.ehs.stonybrook.edu/fire/disabilities.asp.

Tentative course schedule Lecture 1

4

Date Chapter Material Covered 3/3 1 What is statistics? 2, 3 Graphical & descriptive statistics 4 Numerical descriptive techniques 3/10 4 Numerical descriptive techniques 5 Data collection and sampling 3/17 6 Probability 7 Random variables and discrete probability distributions 4/7 8 Continuous probability distributions

5 6 7

4/14 4/21 4/28

9 10 11

Sampling distributions Introduction to estimation Introduction to hypothesis testing

8 9

5/19 6/2

12 13

Inference about a population Inference about comparing two populations

2 3

10

6/9

15 16

Chi-squared tests Simple linear regression & correlation

2

HW 1 due HW 2 due

HW 3 due Exam I HW 4 due HW 5 due HW 6 due Exam II HW 7 due HW 8 due Exam III HW 9 due