Course Name Year Term Period Faculty / Graduate School All Instructors Credits
50998:Statistics (P) 2024 Fall Mon4 College　Of　Policy　Science ODA HISAYA 2

Campus

OIC

Class Venue

AS461

Language

English

Course Outline and Method

This course introduces students to the basic framework for statistical analysis. The course will mainly teach descriptive statistics and introductory econometrics, which are essential in conducting empirical studies.

Student Attainment Objectives

To develop basic quantitative skills necessary for independent research.
To develop the ability to perform statistical analyses on a personal computer using Excel.

Recommended Preparatory Course

It is assumed that students have some familiarity with the use of a personal computer and Microsoft Excel.
Knowledge of introductory mathematics is required. Knowledge of calculus is preferred but not required.

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1

 Introduction

Descriptive and Inferential Statistics, Types of Variables, Types of Data

2〜4

Graphing Data, Mathematical Note, Measures of Central Tendency, Measures of Variation, Measures of the Association between Two Variables

Bar chart, Histogram, Scatter Plot, A Brief Introduction to Probability Theory, Random Variables, Mean, Mode, Median, Variance, Covariance, Correlation

5〜7

Distribution

Normal Distribution and Standard Scores, Population and Sample, Sample Distribution, Central Limit Theorem, T-distribution and t-scores(t-statistic)

8〜10

Hypothesis Testing

Confidence Interval, Test for a Mean

11〜15

Introduction to Linear Regression Analysis

Simple Linear Regression, Derivation of Estimated Parameters, Assumptions for Linear Regression Analyses, Inference for Regression, Multiple Regression, Transformation of Variables, Dummy Variables

Class Format

As a rule, lectures will be conducted face-to-face. However, classes may be conducted online depending on the situation.

Recommendations for Private Study

Students should review lectures and complete homework assignments.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written) 0

Report Examination
(A report to be submitted by the unified deadline)		 0

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

Grades will be based on three mini-exams and one research paper.

Grade Evaluation Method （Note）

Advice to Students on Study and Research Methods

Textbooks

Textbooks （Frequency of Use, Note）

Readings and handouts will be distributed.

Reference Books

Title Author Publisher ISBN Code Comment
Elementary Statistics Mario Triola Pearson 978-0134462455 13th eddition
Introduction to Econometrics Christopher Dougherty Oxford Univ Press 978-0199676828 Reprint version

Reference Books （Frequency of Use, Note）

Web Pages for Reference

https://www.math.arizona.edu/~jwatkins/statbook.pdf (An Introduction to the Science of Statistics)
https://global.oup.com/uk/orc/busecon/economics/dougherty5e/ (Introduction to Econometrics)

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Learning Management System （manaba+R）,Talk with Students

Other Comments

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URL:http://www.ritsumei.ac.jp//students/pathways-future/course/curriculum.html