| Course title | |||||
| 応用生物科学専門実験Ⅲ [Laboratory Work of Applied Biological Science Ⅲ] | |||||
| Course category | specialized courses/ major subjects | Requirement | Credit | 2 | |
| Department | Year | 3～4 | Semester | Fall | |
| Course type | Fall | Course code | 02m3551 | ||
| Instructor(s) | |||||
| 中島 正裕, 久野 叔彦 [NAKAJIMA Masahiro, KUNO Toshihiko] | |||||
| Facility affiliation | Scleroprotein and Leather Research Institute | Office | 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 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. Descriptive statictics 2. Probability 3. Conditional probability and independence 4. Random variable: expectation and variance 5. Probability distribution(1) 6. Pribability distribution(2) 7. Excercise on probability 8.Review, and midterm examination 9. Law of large numbers and the central limit theorem 10. Sample distribution 11. Sample from normal distribution 12. Statistical estimation 13. Hypothesis testing 14. Examples of hypothesis testing 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 |
| Google classroom code: ymcwnch |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 4/11/2023 9:11:49 AM |