ECON 2121A

Methods of Economic Statistics

1st Term, 2018-2019

 

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: 
BAO Lingmin ELB 1016 3943-8203 1155076575@link.cuhk.edu.hk 
WONG Ho Yeung  ELB 1017  3943-8202  joewonghy2017@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 and in-class assignments 30%
Mid-term 30%
Final 40%
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 and in-class assignments
2 short quizzes will be given during class on 2nd Oct 2018 and 20th Nov 2018 respectively and some random in-class assignments will also be given to assess the understanding of the lecture material. There will be no makeup quizzes or in-class assignments.
  • Mid-term (23th Oct, 2018) 6:30pm - 8:15pm, 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 Sampling and Sampling Distributions 7
8 Mid-term   
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 (tentative depending on our progress) 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.