course outline dsme2010
TRANSCRIPT
1
Department of Decision Sciences & Managerial Economics
Faculty of Business Administration
The Chinese University of Hong kong
DSME2010 Statistics Analysis for Business Decision I
Sections D, E & F (Fall Semester, 2012)
INSTRUCTOR
NAME Francis K CHEUNG Office: 924 CYT Building Phone: 3943‐7654 E‐mail: [email protected] Office hours: Wednesday 10:30 ‐11:30am or by appointment
TEACHING ASSISTANCE
NAME FUNG Wan Hang, Melody Office: 931 CYT Building Phone: 3943‐1654 E‐mail: [email protected] Office hours: Wed 2:30am‐3:30pm and Friday 2:30pm‐3:30pm or by appointment
COURSE CONTENT
The objective of this course is to introduce the basic statistical concepts and techniques to the first year business students. The course aims to help students understand the value of Statistics in acquiring knowledge and making decisions in business practice, develop students’ critical‐and‐thoughtful thinking skills, and equip students the ability to apply statistical analysis to business issues. The topics include descriptive statistics, probability, estimation, and hypothesis testing.
REQUIRED TEXTBOOK
Sweeney, Williams and Anderson, Fundamentals of Business Statistics, Sixth Edition (2011), South‐Western Cengage Learning.
REFERENCE TEXTBOOK
Berenson, Levine and Krehbiel, Basic Business Statistics, Concepts and Applications, Tenth Edition (2005), Prentice Hall.
COURSE ASSESSMENT
Course grade will be based on some or all of the following elements: Final Exam 50% Mid‐term Exam 30% Class Participation 5% Homework (individual) 15%
Total 100%
2
FINAL EXAMINATION
The exam is closed notes and books. It is a comprehensive test, which covers all topics taught in this course. It will be 2 hours long. The date and time will be announced by the examination section of the university in a later date. No individual make‐up examination will be offered in this course.
MID‐TERM EXAMINATION
The midterm exam will be 2 hours long and will be held on Nov 1 (Thur), 6:30pm – 8:30pm. The venue is YIA LT1. It is closed notes and books and this written test will be comprised of multiple choices, short answer questions, and numerical problems.
CLASS PARTICIPATION
Please note that “PARTICIPATION” is not equal “ATTENDENCE”. You are required to actively engaged in discussions, raising questions and providing feedback. You will obtain marks in participation by asking pertinent questions or by responding to questions during class. You will lose participation marks by constantly talking in class or missing a significant portion of the class.
HOMEWORK
You are required to submit assigned homework at the time announced in the class website.
Late submission will result in 0 points in that assignment.
COURSE STUDY OUTCOMES
After completing this course, students should be able to: (1) understand and use the basic language and tools of statistics, (2) use of properties of probability distributions to make computations, (3) master the mechanic of estimation and hypothesis testing, (4) apply statistics analysis to solve the problem and to make proper decision in business
problems, (5) using computer program (excel) to help conducting statistical analysis.
CLASSROOM CONDUCT
Mobile phones and pagers must be switched off, and no eating or drinking is allowed during class. Talking with nearby classmates will distract the class and is prohibated.
POLICY ON SCHOLASTIC DISHONESTY
The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. Attention is drawn to University policy and regulations on honesty in academic work, and to the disciplinary guidelines and procedures applicable to breaches of such policy and regulations. Details may be found at http://www.cuhk.edu.hk/policy/academichonesty/.
COURSE OUTLINE
3
The term starts from Sept 10 to Dec 7. Below is a tentative course outline. Note that the schedule and topics maybe adjusted during the semester according to the course progress.
Week Chapter Topic
1 Chapter 1 Introduction
2 Chapter 2 Descriptive Statistics: Graphing
3 Chapter 3 Descriptive Statistics: Numerical Measures
4 Chapter 4 Probability
5 Chapter 5 Random Variable: Concepts & Properties
6 Chapters 5&6 Random Variables: Probability Models
7 Midterm
8 Chapter 7 Random Variables: Sampling Distribution
9 Chapter 8 Statistical Inference: Estimation
10 Chapter 9 Statistical Inference: Hypothesis Testing
11 Chapter 10 Statistical Inference: Comparing Two Means
12 Chapter 11 Statistical Inference: Chi‐Square Test
13 Makeup
Note: There will be no class on the following public holidays: Oct 1 (Mon), Oct 2 (Tue) and Oct 23 (Tue) .