Statistical Methods

Instructors

MIYAMOTO, Hiroaki

Credits / Language / Semester

4Credits / English / Winter

Objectives/Overview

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 analytics and the theoretical background of the methods as possible.

Keywords

Statistics, Probability, Estimation, Statistical inference, Regression analysis

Schedule

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

Teaching Methods

Lecture

Grading

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%.

Required Text

Anderson, David R., Dennis J. Sweeney, and Thomas A. Williams, Statistics for Business and Economics, (11th Edition), Thompson South-Western, 2010.

Reference Books

Wooldridge, Jeffrey, Introductory Econometrics: A Modern Approach, (4th edition), Thompson South-Western, 2008.

Notes on Taking the Course

Students should take the course “Practice Session for Statistical Methods”.

Related Resources

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