ECON 2121A

Methods of Economic Statistics

1st Term, 2017-2018

 

Lecture Hours and Location:

Tue 2:30pm - 5:15pm (T07-09); ELB LT4

Instructor:  
    Office: Phone:  E-mail: 
  YUNG Chor-Wing Linda  ELB 1010 3943-8192  cwyung186@cuhk.edu.hk 
Teaching Assistants:        
    Office: Phone:  E-mail: 
KWOK Stanley ELB 1017 3943-8202 1006758761@link.cuhk.edu.hk 
NI Shengqi  ELB 1016  3943-8203  lightni@link.cuhk.edu.hk 

 

Course Description and Objective:  
This course studies basic statistical concepts and their applications. Major topics include: descriptive statistics; probability distributions; sampling; estimation; hypothesis testing; regression and correlation analysis. Students should have knowledge of elementary differential and integral calculus, and are advised to take ECON1111 before taking this course.
Upon successful completion of this course, students should demonstrate their mastery of the basic knowledge of statistical concepts and techniques, develop their statistical thinking and reasoning skills, and feel comfortable in applying the statistical techniques and thinking in analyzing data..		  

 

Recommended Textbook: Anderson, Sweeney, Williams, Camm and Cochran, 2017, Statistics for Business & Economics, 13th edition, Cengage Learning
   
Course Assessment Scheme:
Quizzes 20%
Mid-term 35%
Final 45%
Course Activities:
  • Tutorials and Problem Sets

Weekly problem sets will be posted on the class Blackboard as we go along. Problem sets will NOT count towards your grade. However, it is an essential adjunct to the lecture material, and will assist you in preparing for the exams. Therefore, it is very important that you work on your own before tutorial class. Tutorials will start on the third week. It will go through some of the assignments.

  • Quizzes
2 short quizzes will be given during class on 3rd Oct 2017 and 21st Nov 2017 respectively to assess the understanding of the lecture material. All quizzes are equally weighted. There will be no makeup quizzes.
  • Mid-term (17th Oct, 2017) 4:30pm - 6:15pm, YIA LT1 (tentative)
Please note carefully the date, time and venue of the mid-term; there will be no makeup exam for the mid-term.  This is not negotiable.  If you miss the mid-term, due to a documented illness or emergency, and have received my approval prior to the mid-term exam, your final exam score will receive the weight of the mid-term in addition to its own weight. 
  • Final  (time and date will be announced later)

Final will be arranged by the University, please observe the date and venue.  The University has very strict regulations on how the final exam works. So please make sure you can make it.

For exchange students, please note that early departure is NOT a valid reason for not taking the final examination at the time scheduled by the University.

 
Course Content and Tentative Schedule:
Week Topic Readings: Chapter
1 Data and Descriptive Statistics 1, 2
2 Numerical Measures 3
3 Introduction to Probability 4
4 Discrete Probability Distributions 5
5 Continuous Probability Distributions Quiz 1 6
6 Sampling and Sampling Distributions 7
7 Mid-term  
8 Sampling and Sampling Distributions 7
9 Interval Estimation 8
10 Hypothesis Tests 9
11 Inference with Two Populations 10, 11
12 Analysis of Variance Quiz 2 13
13 Simple Linear Regression 14
Note: 

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/ .

With each assignment, students will be required to submit a signed declaration that they are aware of these policies, regulations, guidelines and procedures. For group projects, all students of the same group should be asked to sign on the declaration.

For assignments in the form of a computer-generated document that is principally text-based and submitted via VeriGuide, the statement, in the form of a receipt, will be issued by the system upon students' uploading of the soft copy of the assignment.  Assignments without the receipt will not be graded by teachers. Only the final version of the assignment should be submitted via VeriGuide.