2025Year

First Semester

Applied Statistics

Lecture

Applied Statistics

Z1500008 Applied Statistics

MIKAMI Dan

2.0Credits

Thu.4Period

Shinjuku Campus

A-0656教室

A) A high degree of specialized expertise　80%
B) The skills to use science and technology　20%
C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers　0%
D) Creative skills in specific areas of specialization　0%

This is an introductory course to applied statistics. It is intended for those with little mathematical background. By the end of this course, you should be able to understand and use the concepts in probability theory, statistics, and beyond. We would increase a student's capacity to understand the role that mathematical sciences play in the real world to make well-founded decisions as a potential engineer. To illustrate, the student should comprehend the methods of statistical hypothesis testing and interval estimation as well as the notion of p-value. The method of ANOVA, or the analysis of variance, the Bayesian inverse probability approach, and some topics of Independent Component Analysis would also be mentioned in the latter part of this lecture course.

It is quite essential that you understand a high school level mathematics beforehand. Private study time is also an essential complement to our work in the course, which would improve your understanding of the subjects.

Not used

1. Descriptive Statistics
2. Standard Deviation
3. Normal Distribution
4. Hypothesis Testing and Interval Estimation
5. Law of Large Numbers
6. Chi-squared Distribution
7. Student’s T-test
8. Null Hypothesis and p-value
9. Correlation
10. Regression Analysis
11. Analysis of Variance
12. Factor Analysis
13. Bayesian Statistics
14. Independent Component Analysis

The student should demonstrate his/her ability to handle basic exercises by submitting a report at the end of the class.

Feedback on the exercises will be given in class.

Lecture notes will be available for downloading prior to the lectures.

統計学入門（東京大学教養学部統計学教室編、東京大学出版会）
数理統計学（竹内啓著、東洋経済）
多変量解析の展開（甘利俊一・竹内啓・竹村彰通・伊庭幸人編、岩波書店）

I would recommend the above book for reference, if any.

Tuesday 4th period ( 14:10-15:40)

Please contact me by e-mail in advance. I also accept questions via the following e-mail.
mikami.dan<at>cc.kogakuin.ac.jp

It is quite essential that you understand a high school level mathematics beforehand. Private study time is also an essential complement to our work in the course, which would improve your understanding of the subjects.

Applicable

民間企業において研究および研究成果の実用化に従事

Informatics Program