Course title
数理統計学   [Mathematical Statistics]
Course category	general education courses	Requirement		Credit	2
Department		Year	2～	Semester	Fall
Course type	Fall	Course code	01MA0505c
Instructor(s)
藤川 浩   [FUJIKAWA Hiroshi]
Facility affiliation	Center for Infectious Disease Epidemiology and Prevention Research	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 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.

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

Nothing in particular

Required Text(s) and Materials

"Seibutukeinotameno yasasii kisotoukeigaku" by Fujikawa and Koizumi, Kodansya

References

Assessment/Grading

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

9/20/2018 10:49:47 AM