The Chinese University of Hong Kong

Find the reviews of your courses and professors

A
B
C
D
E
F
G
H
I
J
K
L
M
N
P
R
S
T
U

ECON 2121 Methods of Economic Statistics

Related Textbook(s)/Reference(s):
5 sharing(s) available for this course
Average Rating:

7.80


Anonymous shared this review at 2:16am 11 May 2016
  • Professor: Prof. Zhang Hongliang
  • Language: English
Rating:

8.00

Course Description
Just about how to use statistical methods to analyse sample data
Assessment
2 problem sets
1 midterm
1 exam (centrally arranged)
Grading

You have to signup an account to view this content. Sign Up Sign In

Teaching Skills & Others

You have to signup an account to view this content. Sign Up Sign In


Anonymous shared this review at 1:06pm 5 March 2015
  • Professor: Prof. Hsieh Chih Sheng
  • Language: English
Rating:

7.00

Course Description
This course studies basic statistical concepts and their applications. Major topics include: descriptive statistics; probability distributions; sampling; estimation; hypothesis testing; regression and correlation analysis. 
Assessment
mid term 40%
final 50%
assignment 10%
Grading

You have to signup an account to view this content. Sign Up Sign In

Teaching Skills & Others

You have to signup an account to view this content. Sign Up Sign In


Anonymous shared this review at 5:53pm 27 March 2015
  • Professor: Prof. Hsieh Chih Sheng
  • Language: English
Rating:

7.00

Course Description
Learn about basic statistic knowledge. In midterm exam, it is basicly about DSE M1 and its mean is very high.
Also learn about: regression model, f-test, t-test, p-value, alpha, beta, etc
Assessment
10% homework
30%midterm exam
40%final exam
10%individual project (around 2pages)
(forgot the exact %)
Grading

You have to signup an account to view this content. Sign Up Sign In

Teaching Skills & Others

You have to signup an account to view this content. Sign Up Sign In


kit shared this review at 2:32pm 21 January 2016
  • Professor: Prof. Zhang Hongliang
  • Language: English
Rating:

8.00

Course Description
statistic
Assessment
mid-term, final, problem set
Grading

You have to signup an account to view this content. Sign Up Sign In

Teaching Skills & Others

You have to signup an account to view this content. Sign Up Sign In


Anonymous shared this review at 9:28pm 30 January 2017
  • Professor: Mat
  • Language: English
Rating:

9.00

Course Description
Course Description and Objectives:
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. Moreover, students will have practical experience in using Excel and R for
statistical analysis.
Textbook: CTE Statistics for Business & Economics with Aplia, 12th Edition, by David R.
Anderson; Dennis J. Sweeney; Thomas A. Williams; Jeffrey D. Camm; James J. Cochran.
Cengage Learning.
Assessment
1. Four problem sets (20%).
2. Midterm exam (35%).
3. Final exam (40%). The final examination will be cumulative but will emphasize the
materials after the midterm exam.
4. Class participation (5%). You are encouraged to come to class. Random in-class group
discussion assignment will serve for attendance record. If you get full record, you will
earn 5% course credit.
Grading

You have to signup an account to view this content. Sign Up Sign In

Teaching Skills & Others

You have to signup an account to view this content. Sign Up Sign In



Teaching Professor(s)

Prof. Hsieh Chih Sheng
Prof. Yan Jin
Prof. Zhang Hongliang
Mat

Contact Us

If you have any inquiry on RegCourse, please drop us an email. We will get back to you very soon.

User Support
support@regcourse.com
Partnership Opportunities
info@regcourse.com
Advertising Opportunities
advertising@regcourse.com
Top