Introductory Statistics for Economics

Introductory Statistics for Economics

専門教育科目

General Courses

国際商経学部

学年指定なし

KCCBG1MCA7

2.00単位

講義・演習 (Lecture/Seminar)

2024年度後期

(Fall semester)

Bishnu Kumar Adhikary

School of Economics and Management

英語

目標1／目標3

11:30 -17:00
School of Economics and Management, Room A317 (Research Building 1)

By appointment only. (adhikarykobejp@gmail.com)

1◎／4◎／1〇

1◎／2◎

4-1◎

目標１:磨き続ける力／ー

This course aims to provide an understanding of the basic statistical tools for business and economic data analysis. In this course, the students will first learn how to arrange and present data graphically. Then, they will learn statistical tools such as mean, mode, median, variance, standard deviation, sampling,  confidence intervals, hypothesis testing, correlation, and simple linear regression. This course is a foundation for advanced electives in business data analysis.
After completing the course, students will learn to apply statistical tools and techniques for analyzing economic and financial data. The course is helpful for any business student interested in applying quantitative tools and techniques for data analysis.

Sample, population, mean, variance, correlation, regression

Lecture 1
Introduction and overview of the course: Understanding types of data, data points, and databases.
Lecture 2
Group data and ungroup data- frequency distribution                                                
Lecture 3
Pictorial presentation of data: line, bar diagram, pie chart, radar, and combo
Lecture 4
Data analysis tools: Mean, mode, median, maxima, and minima
Lecture 5
Range, variance, standard deviation
Lecture 6
Understanding Probability
Lecture 7
Mid-term evaluation
Lecture 8
Sampling techniques
Lecture 9
Confidence intervals
Lecture 10
Hypothesis testing
Lecture 11
Correlation
Lecture 12
Review of assignments
Lecture 13
Basics of ordinary least square model (OLS)
Week 14
Understanding results of OLS- significance of the variables and goodness of fit of the model
Week 15
Final evaluation

Business Statistics, 3^e, Robert A Donnelly, 2020, Pearson Education Ltd., ISBN: 9780134687018

1. Statistical Techniques in Business and Economics, Douglas Lind, William Marchal, and Samuel Wathen, 18e, 2020, McGraw Hill, ISBN: 9781260239478
2. Business Statistics-A first course, 8^e, David M. Levine, Kathryn A. Szabat, and David F. Stephan, 2019, Pearson Education Ltd., ISBN: 9780135180341

 3. Business Statistics, 4^e, 2018, Norean Sharpe, Richard De Veaux, and Paul Velleman, Pearson Education Ltd., ISBN: 978-0134705217

To measure the course objectives, students will be assessed based on their conceptual and quantitative skills in understanding and solving problems. There will be a mid-term and a final exam to assess students’ conceptual and quantitative skills. Besides, the students will be given some exercises and problems as a home task to measure their conceptual and quantitative skills. In addition, class participation and attendance will be considered to assess students’ interest in statistics. Therefore, you are expected to review PowerPoint materials in advance for about 30 hours. For the mid-term and final evaluation, I suggest you to review class exercises and problems for at least two hours after the class or at home, in total 30 hours.

Grading Methods: Contribution to classroom discussions (10%), Assignment (20%),  Mid-term exam (30%), and a final exam (40%)

In the classroom

This course is open to anyone, irrespective of specialization. However, i suggest attending the class on time and regularly. 

The course is helpful for any business student interested in applying quantitative tools and techniques for data analysis.