Statistics for Business and Economics
| Numbering Code | P-MGT75 50018 LE44 | Year/Term | 2022 ・ Second semester | |
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| Number of Credits | 2 | Course Type | Lecture | |
| Target Year | Target Student | |||
| Language | English | Day/Period |
Sat.3・4 every 2 weeks |
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| Instructor name |
FUJIKAWA KIYOSHI (Part-time Lecturer) YAMAMOTO TAKASHI (Graduate School of Management Professor) |
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| Outline and Purpose of the Course |
This course provides an introduction to the statistical methods used for analysis in business, economics and the social sciences. The purpose of this lecture is to understand the basic idea of "mathematical statistics", which is to estimate and test the parameters of a population using samples. In other words, this lecture will help students understand the meaning of errors and significant level. |
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| Course Goals | The goal of this course is to teach basic statistical concepts, tools and techniques that are applied in the fields of economics and business management relevant for business decisions. | |||
| Schedule and Contents |
Part 1 Distribution 01 Introduction to mathematical statistics 02 Normal distribution 03 Sample distribution: T-distribution and Chi-square distribution 04 Sample distribution: Chi-square distribution and F-distribution Part 2 Estimation and statistical test of parameters 05 Estimation of population mean, variance, and ratio 1 06 Estimation of population mean, variance, and ratio 2 07 Estimation of population mean, variance, and ratio 3 08 Test of population mean, variance, and ratio 1 09 Test of population mean, variance, and ratio 2 10 Test of population mean, variance, and ratio 3 Part 3 Other statistical test 11 T-Test for difference of population means and ratios of two groups 12 Chi square test for fitness and independence 13 Analysis of variance (ANOVA) for difference of means and ratios among groups 14 Correlation and regression analysis 1 15 Correlation and regression analysis 2 (Introduction to E-views) |
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| Evaluation Methods and Policy | Performance in the class: 20% and term report based on the lecture materials: 80%. | |||
| Course Requirements | Participants are required to have basic knowledge on basic economics and mathematics. | |||
| Study outside of Class (preparation and review) | Review after the class, preferably the same day immediately after the class before you sleep, is highly recommended. | |||
| Textbooks | Textbooks/References | Lecture materials are distributed to the participants through one drive. No specific text book is used. | ||
| References, etc. |
Ronald E. Miller and Peter D. Blair (2009) Input-Output Analysis: Foundations and Extensions Thijs ten Raa (2010) Input-Output Economics: Theory and Application |
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