| Course title | |||||
| 生物統計学 [Biostatistics] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | 4～ | Semester | 2nd | |
| Course type | 2nd | Course code | 01bn4033 | ||
| Instructor(s) | |||||
| 竹下 和貴, 井上 真紀 [INOUE Maki] | |||||
| Facility affiliation | Graduate School of Agriculture | Office | Email address | ||
| Course description |
| The main aim of this course is to help students acquire the necessary knowledge of statistics needed to conduct experiments and surveys and to understand research papers in the applied biological science field. Through practical exercises using R, a free software environment for statistical computing and graphics, students will also acquire statistical processing techniques, the minimum necessary for writing graduation theses. |
| Expected Learning |
|
The goals of this course are to (1) Understand the basics of statistics. (2) Be able to design experiments and surveys based on research objectives and explain their statistical validity to others. (3) Be able to appropriately interpret the statistical analysis results. Corresponding criteria in the Diploma policy: See the curriculum maps. https://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
1. Introduction 2. Fundamentals of R and descriptive statistics for one variable 3. Descriptive statistics for more than one variable 4. Fundamentals of inferential statistics 5. Fundamentals of statistical hypothesis testing 6. Compare the means of the two groups 7-8. Compare three or more means 9. Multiple comparison procedures and interactions 10. Design of experiments 11-12. Regression analysis 13. Data handling with R 14-15. How to write "Statistical Analysis" and "Results" sections in a graduation thesis |
| Prerequisites |
| In addition to the lectures in the class, you are recommended to prepare and review the class using the standard amount of time as specified by the university for each class. |
| Required Text(s) and Materials |
| There is no specific textbook. All handouts for the lecture will be distributed in advance. |
| References |
| Assessment/Grading |
| Reports (70%) and exercises in the class (30%) |
| Message from instructor(s) |
| The most important goal of this lecture is to alleviate students' unwillingness to statistics and motivate them to learn. Students who are not good at mathematical equations are encouraged to consider taking this course. |
| Course keywords |
| Office hours |
| Email questions are welcome at any time (kazutaka.takeshita.0716@gmail.com). |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 1/7/2022 1:00:41 PM |