| Course title | |||||
| 数理統計学 [Mathematical Statistics] | |||||
| Course category | technology speciality courses | Requirement | Credit | 2 | |
| Department | Year | 2～4 | Semester | 1st | |
| Course type | 1st | Course code | 022354 | ||
| Instructor(s) | |||||
| 原 伸生 [HARA Nobuo] | |||||
| Facility affiliation | Faculty of Engineering | Office | 12-214 | Email address | |
| Course description |
|
Class code: apzmje3 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 goals of this course are (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 practical calculations. Corresponding criteria in the Diploma Policy: See the Curriculum maps |
| 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.Review, and 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.Review, and Term examination |
| Prerequisites |
| In addition to 30 hours that students spend in the class, students are recommended to prepare for and revise the lectures, spending the standard amount of time as specified by the University and using the lecture handouts as well as the references specified below. |
| Required Text(s) and Materials |
| Textbooks will be introduced in the first lecture, if necessary. |
| References |
| Assessment/Grading |
| Due to midterm exam and/or term exam |
| Message from instructor(s) |
| Course keywords |
| Mean, Variance, Normal distribution, Sample, Estimation, Testing |
| Office hours |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/17/2022 12:46:47 PM |