Introductory Statistics for Economics

Introductory Statistics for Economics

専門教育科目

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国際商経学部

学年指定なし

KCCBG1MCA7

2単位

講義・演習 (Lecture/Seminar)

2026年度後期

(Fall semester)

Jean-Baptiste M.B. SANFO

School of Economics and Management

英語

目標1／目標9

Before or after class, in the classroom.

Office: Research Building I Room A-204

sanfo@em.u-hyogo.ac.jp

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【Course Objectives】

This course aims to provide students with a solid foundation in statistics and its application to economic analysis. Statistics is a core analytical tool in economics, enabling researchers and policymakers to summarize data, identify patterns, test hypotheses, and make informed decisions.

【Learning Outcome】

By the end of this course, you will have developed critical skills to:

1. Demonstrate understanding of basic concepts of descriptive and inferential statistics
2. Apply basic concepts of descriptive and inferential statistics
3. Analyze economic data using statistical methods
4. Use statistical software to perform data analysis and present findings clearly and effectively.
5. Interpret and critically evaluate statistical results in economic research

Mean, variance,  probability, sample, population, correlation, regression

【Course Overview】

This course introduces fundamental statistical concepts and methods used in economic analysis. Students learn how to summarize data, assess uncertainty, and draw conclusions using statistical methods commonly applied in economics. Emphasis is placed on building intuition, applying methods to data, and preparing students for further study in econometrics and empirical economic research.


【Course Schedule】

Lecture 1: Guidance and Introduction to Statistics
Lecture 2: Displaying Descriptive Statistics
Lecture 3: Calculating Descriptive Statistics
Lecture 4:  Introduction to Probabilities
Lecture 5: Discrete Probability Distributions
Lecture 6: Continuous Probability Distributions
Lecture 7: Mid-term evaluation
Lecture 8: Sampling and Sampling Distributions
Lecture 9:  Confidence Intervals
Lecture 10:  Hypothesis Testing for a Single Population
Lecture 11:  Hypothesis Tests Comparing Two Populations
Lecture 12:  Analysis of Variance (ANOVA) Procedures
Lecture 13:  Chi-Square Tests
Lecture 14:  Correlation and Simple Linear Regression I
Lecture 15:  Correlation and Simple Linear Regression II

Final evaluation

The content of the course may vary depending on the pace of progress.

ハイブリッド（対面）

Each topic is first introduced theoretically to ensure a solid understanding of fundamental concepts and terminology. Application of these concepts will then be performed,  followed by interpretation and discussion of the results.


For sessions conducted remotely, students must have the necessary equipment and internet access (e.g., a computer and a stable Wi-Fi connection) to attend classes from home or other locations. Sessions to be conducted remotely will be determined and communicated after course registration.

利用する場面を限定し許可

Students are required to comply with the University of Hyogo's policy regarding the use of generative AI tools. Generative AI may be used as a supplementary aid for learning activities such as drafting reports or conducting preliminary research, provided that students critically assess the content produced. Students are responsible for verifying the accuracy of all information, properly acknowledging sources and references, and ensuring that submitted work reflects their own understanding and independent effort. Assignments generated primarily by generative AI, or submitted without appropriate revision and original contribution, are not permitted.

If inappropriate use of generative AI is identified, the assignment may receive no credit or other academic measures may be taken in accordance with university regulations.

Business Statistics, 3e, by Robert A Donnelly, 2020, Pearson Education

Statistical Techniques in Business and Economics, Douglas Lind, William Marchal, and Samuel Wathen, 18e, 2020, McGraw Hill.

Statistics for Business and Economics by Paul Newbold, William L. Carlson, and Betty Thorne (Tenth Global edition).

Introduction to Statistics by Dr. Lauren Perry
https://bookdown.org/lgpperry/introstats/

【Pre-Learning】Students will be provided with lecture notes and handouts beforehand. Please read them before the class.

【Post-Learning】Lecture notes and handouts will contain exercises or questions. Please review them after the class.

Students will be asked to share their understanding of given concepts or asked to report orally what they discussed in groups.

Some concepts will be demonstrated using R, and we will discuss the output.

Engagement in classroom activities (20%)
Assignments (20%)  
Mid-term Evaluation (30%)
Final evaluation/Report (30%)

In the classroom

This course is useful for any student interested in applying quantitative tools and techniques for data analysis.

Regular attendance is required. Students have to attend ALL classes. 

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Remember that making mistakes is a natural part of the learning process. Don’t fear mistakes; instead, view them as valuable opportunities for growth. Be proactive in your learning by seeking help, asking questions, and sharing your thoughts. Learning is a collaborative effort, and I’m here to support you every step of the way. Just as you are learning, so am I; together, we can create a positive and enriching experience. Let’s engage, explore, and learn from each other!