| Course title | |||||
| 基礎統計学 [Introducing to Statistics] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | 1～ | Semester | Spring | |
| Course type | Spring | Course code | 05MN5707 | ||
| Instructor(s) | |||||
| 奥田 武弘, 金子 弥生 [OKUDA Takehiro, KANEKO Yayoi] | |||||
| Facility affiliation | Graduate School of Agriculture | Office | Email address | ||
| Course description |
| This class provides a basic knowledge and related matters about statistical analyses. |
| Expected Learning |
|
To acquire a basic knowledge and related matters about statistical analyses, and get literacy in statistics and data handling, which are essential for writing scientific papers, students have to achieve following items; 1) understand a basic knowledge about statistical analyses and get skills for adopting an appropriate statistical analysis to test a hypothesis or prediction, 2) get skills for planning observations or experiments to obtain necessary data sets to conduct statistical analyses planned to test a hypothesis or prediction, and for handling data sets obtained from observations a experiments to conduct planed statistical analyses, 3) get skills for conducting statistical analyses by using statistical software R, and then creating appropriate graphs and tables to present results of analyses. |
| Course schedule |
|
Lesson 1 Guidance of course The outline of this course. Lesson 2-3: Study planning and data handling Learn about: 1) Processes of planning observations and experiments to accomplish the study, and processed of considering appropriate statistical analyses to analyze obtained data sets; 2) Concept of “tidy data” to prepare data set for conducting statistical analysis; 3) Processes of considering whether the planed analysis will be able to conduct appropriately based on characteristics of data sets; and 4) Processes of revising methods of observations, experiments, and statistical analyses, through appropriate handling of obtained data sets and creating graphs providing overhead views of data sets. Lesson 4-5: Understand a basic knowledge about statistics To conduct appropriate statistical analyses, learn about basic statistics, statistical tests, test statistics, statistical models, probability distributions, etc. Lesson 6-7: Handling data and draw graphics with R Learn about: 1) How to generate virtual data and edit data by using statistical software R; and 2) How to draw graphics by using statistical software R. Lesson 8-9: Statistical analysis with R -statistical modelling- Learn about: 1) Statistical tests and statistical modelling with R, and various types of statistics as results of statistical analyses; and 2) Processes of discussing whether obtained results will be appropriate to accomplish objects of the study, and advanced statistical analyses which would be candidate for revised analytical methods. This course focuses generalized linear model (GLM). Lesson 10-11 Statistical analysis with R -multivariate analyses- Learn about series of multivariate analyses. Lesson 12-13 Statistics Done Wrong Learn about inappropriate use of statistics. Lesson 14-15: How to indicate the results in R Learn about how to create appropriate graphs to show results of analyses by using R. Learn about how to present appropriate graphs and tables in scientific papers. The handout (e.g., slide) will be distributed before each lesson. It is desirable to prepare the summary of lessons. In each coursework, I will give some assignment to check learning contexts. After the ends of all lectures, I will request a report written in the form of a scientific paper. |
| Prerequisites |
| Understanding mathematics provided at Japanese high school. |
| Required Text(s) and Materials |
| Handout will be arbitrarily provided. |
| References |
|
Paul Murrell (2011) R Graphics, Second Edition. Chapman & Hall. Michael J. Crawley (2013) The R Book, Second Edition. Wiley. |
| Assessment/Grading |
|
Attendance: 10%, assignment of each course work: 70%, report: 20% 【2015】S:40%, A:40%, B:4%, C:4%, D:12%, E:0% |
| Message from instructor(s) |
| One of the goals of this class is getting skills for conducting Generalized Linear Model (GLM) by using statistical software R. |
| Course keywords |
| Statistical literacy, data literacy, programing, statistical modelling |
| Office hours |
| Before and after of each lesson. Open for any questions by e-mail. |
| Remarks 1 |
| The coursework is going to held in Japanese. |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/28/2017 6:45:33 PM |