| Course title | |||||
| 数理統計学 [Mathematical Statistics] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | 2～ | Semester | 3rd | |
| Course type | 3rd | Course code | 01ma2005c | ||
| Instructor(s) | |||||
| 藤川 浩 [FUJIKAWA Hiroshi] | |||||
| Facility affiliation | Graduate School of Agriculture | Office | afjgxte/L1151 | Email address | |
| Course description |
| Mathematical statistics is the study of giving some methods for estimating the nature of general populations rationally from experimental data and measurements. In this course, basic concepts (such as, probability distribution, mean, variance, standard deviation, and random sample) and representative methods of statistical inferences (such as, point estimation, interval estimation, and hypothesis testing) will be learned. |
| Expected Learning |
|
The goal of this course is (1) to understand both the basic concepts of mathematical statistics and the methods of point estimation, interval estimation, and hypothesis testing, and (2) to be good at simple statistical tests. Corresponding criteria in the Diploma Policy: See the Curriculum maps. URL: https://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
1. Basic methods for data collation 2. Random variable and probability distribution I 3. Random variable and probability distribution II 4. Most simple populations and their samples 5. Estimation I 6. Hypothesis testing I 7. Confidence interval 8. Exercises, or midterm examination 9. Normal distribution 10. Estimation II 11. Hypothesis testing II 12. Hypothesis testing III 13. Tests relating to contingency tables 14. Linear models and variance analysis 15. Term examination |
| Prerequisites |
| In addition to 30 hours in classes and time required for completing assignments, students are recommended to prepare for and review the lectures, spending the standard amount of time as specified by the University and using the lecture handouts as well as the references. |
| Required Text(s) and Materials |
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| References |
| "Seibutukeinotameno yasasii kisotoukeigaku" by Fujikawa and Koizumi, Kodansya |
| Assessment/Grading |
| Examinations 100% |
| Message from instructor(s) |
| Course keywords |
| Normal distiribution, t-distribution, chi- square distiribution, F distribution, Probability, random variable |
| Office hours |
| 10:00－18:00 |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Language Subject |
| Last update |
| 9/3/2021 2:58:09 PM |