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INTRODUCTION TO PROBABILITY AND STATISTICS FOR LIBERAL ARTS
| Lecturer(s) | BANA, GERGELY I. |
|---|---|
| Credit(s) | 2 |
| Academic Year/Semester | 2025 Fall |
| Day/Period | Fri.2 |
| Campus | Mita |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 19696 |
| Faculty/Graduate School | INTERNATIONAL CENTER |
| Year Level | 2, 3, 4 |
| Grade Type | This item will appear when you log in (Keio ID required). |
| Course Description | A course to aim to teach liberal arts students to understand the basic notions of probability theory and statistics, and to be able to comprehend the meaning of an elementary statistical analysis. |
| K-Number | CIN-CO-00413-212-12 |
| Course Administrator | Faculty/Graduate School | CIN | INTERNATIONAL CENTER |
|---|---|---|---|
| Department/Major | CO | ||
| Main Course Number | Level | 0 | Faculty-wide |
| Major Classification | 0 | Other Course | |
| Minor Classification | 41 | International Center Course (Other) - Statistics | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 2 | English | |
| Academic Discipline | 12 | Analysis, applied mathematics, and related fields | |
Course Contents/Objectives/Teaching Method/Intended Learning Outcome
The aim of this course is to teach liberal arts students to understand the basic notions of probability theory and statistics, and to be able to comprehend the meaning of an elementary statistical analysis. While some mathematics is unavoidable to handle probabilities and statistics, our target is not to be able to carry out computations, rather to be able to comprehend simple analyses concerning randomness, subjective and objective probabilities, parameter estimation, confidence. After a short introduction of elementary probability theory, the most important discrete and continuous distributions, the law of large numbers and the central limit theorem, we discuss the basics of statistics, parameter estimation, confidence, and Bayesian statistics.
Active Learning MethodsDescription
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Preparatory Study
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Textbooks
There are no prescribed textbooks.
Handouts are available for download from K-LMS.
Handouts are available for download from K-LMS.
Reference Books
Jay Devore: Probability and Statistics for Engineering and the Sciences (9th ed)
John Canning: Statistics for the Humanities
David Freedman, Robert Pisani, & Roger Purves: Statistics
John Canning: Statistics for the Humanities
David Freedman, Robert Pisani, & Roger Purves: Statistics
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