Credits / Language / Semester
4Credits / English / Winter
This is an introductory course in statistics. This course introduces students to applications of statistical methods in business and economics. The objective of the course is to make students become familiar with how to use and interpret basic descriptive statistics, probability distributions, point and interval estimations, statistical inference, forecasting, and simple linear regression analysis. The course will focus on concepts and practice, keeping aside as much of the analytic and the theoretical background of the methods as possible. Students will be actively involved with computer exercises in this course using the econometric software, EVIEWS. The course will introduce basic knowledge in statistics and econometrics and skills on how to use econometric software, and the major applications in economic analysis. Throughout the course students will use EVIEWS to implement a series of econometrics exercises designed to provide experience with various tests and estimation procedures.
Statistics, Probability, Estimation, Statistical inference, Regression analysis
Course outline is as follows:
1. Introduction and Review of Basic Statistics Concepts
2. Review of Probability Distribution I
3. Review of Probability Distribution II
4. Sample Statistics and Sampling Distribution I
5. Sample Statistics and Sampling Distribution II
6. Interval Estimation I
7. Interval Estimation II
8. Hypothesis Testing
9. Regression Model I
10. Regression Model II
Lecture and computer exercises
Grades will be based on three things: a final exam, a midterm-exam, and problem sets. The final exam will count for 50%, the midterm exam for 30%, and problem sets for 20%.
Anderson, David R., Dennis J. Sweeney, and Thomas A. Williams, Statistics for Business and Economics, (11th Edition), Thompson South-Western, 2010.
Wooldridge, Jeffrey, Introductory Econometrics: A Modern Approach, (4th edition), Thompson South-Western, 2008.