| Course title | |||||
| 農学実験計画法および統計解析演習Ⅰ [Exercise for Methods of Agricultural Experimental design and Statistical Analysis I] | |||||
| Course category | Requirement | Credit | 1 | ||
| Department | Year | 1～ | Semester | 1st | |
| Course type | 1st | Course code | 05ce0001d | ||
| Instructor(s) | |||||
| 川森 愛 [KAWAMORI Ai] | |||||
| Facility affiliation | Graduate School of Agriculture | Office | afjgxte/L1151 | Email address | |
| Course description |
| Students obtain basic knowledge of statistical processing necessary for reading experiments or field survey related to agriculture and related fields. Especially, topics such as agricultural science, applied life science, ecology can be included. Students acquire the ability to do a series of processes from planning and designing experiments and monitoring to statistical analysis and interpretation by themselves. Applications of statistical software R will be demonstrated in this class in order to make practical use in their own research. |
| Expected Learning |
|
Understand the basics of statistics as basic subjects necessary for conducting research in agriculture and related fields, understand the processing of data using interpretive statistical methods, and the interpretation method of results. The following three points are the reaching criteria. 1. Understand the basics of statistics 2. Learn methods that can statistically process phenomena related to agriculture and related fields 3. Evaluation of judgment and validity of contents obtained by analysis result Corresponding criteria in the Diploma policy: See the curriculum maps. https://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
1. Orientation session 2. Learn basic knowledge of statistics 3. Know the nature of the data 4. Basic concept of statistical analysis I- statistical test 1. Orientation session 2. Learn basic knowledge of statistics 3. Know the nature of the data 4. Basic concept of statistical analysis I- statistical test 5．Basic concept of statistical analysis II- statistical estimation 6. Concept of experimental design 7. Interpretation of the analysis result 8. Concept of statistical modeling |
| Prerequisites |
|
Related to subjects of the thesis, it is a required compulsory subject which is divided into special research A group. Subjects of special study group A open for April enrollment students, enrollees for October should take subjects of special study group B. In completing this course, students will spend the standard amount of time as specified by the University. |
| Required Text(s) and Materials |
| Handout will be arbitrarily provided before each coursework. |
| References |
| Applied hierarchical modeling in ecology, Marc Kery and J. Andrew Royle, Academic Press (2015) |
| Assessment/Grading |
| Submission of assignments after each lesson 30%, report 70% |
| Message from instructor(s) |
| The goal of this class is generating sample data and analyzing that using appropriate statistical methods. However, it can be adjusted according to the students’ level of understanding. |
| Course keywords |
| Statistical analysis, Data interpretation, Statistical modeling |
| Office hours |
| Before and after the lecture according to the demand. Any questions by e-mail are always welcome. |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/3/2020 6:47:21 PM |