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 01MA0505a
Instructor(s)
與口 卓志   [YOGUCHI Takashi]
Facility affiliation Graduate School of Agriculture Office   Email address

Course description
Mathematical statistics is a tool of estimating the property of the population (a large set of data) from its small sample. In this course, we will first introduce basic concepts and terms of statistics such as means, variances, probability distributions, etc. Then, observing the connection between statistical properties of samples and those of the population, we will learn methods of interval estimation and hypothesis testing.
Expected Learning
The goal of this course is to be capable of
(1) understanding standard terms and notations of mathematical statistics,
(2) calculating the mean and standard deviation of a given set of numbers,
(3) applying normal distribution or Student's t-distribution to estimation of the mean of the population,
(4) testing a statistical hypothesis by using normal distribution.
Course schedule
1. Means and variances, standard deviations (pp.6-7, pp.10-14, pp.18-21)
2. Random variables, distribution functions (pp.34-40)
3. Covariances and correlation coefficients (pp.22-27)
4. Means and variances of the sum of random variables (pp.42-52)
5. Binomial distribution and Normal distribution
6. Applications of normal distribution, Poisson distribution (pp.59-63)7. Exercises I
7. Exercises I
8. Sampling distributions, the central limit theorem (pp.74-81)
9. Interval estimations based on normal distribution (pp.82-90)
10. Unbiased variances and Student's t-distribution (pp.67-69, pp.84-86)
11-12. Hypothesis tests (pp.92-102, pp.109-110)
13. Chi-square tests and independence tests (pp.112-119)
14. Exercises II
15. Term examination
Prerequisites
Nothing in particular
Required Text(s) and Materials
Heiji Kodera, “Shin Toukei Nyuumon”, Shoukabou (in Japanese)
References
P. G. Hoel, “Elementary Statistics”, John Wiley & Sons, Inc., New York.
Assessment/Grading
The term examination will constitute 80% of your grade and two exercises (the 7th and 14th weeks) constitute 20% of your grade.
(Grade distribution of last year: S 10% A 25% B 23% C 30% D 13%)
Message from instructor(s)
It seems that leaners are likely to be embarrassed by some confusing terms (such as “mean of sample mean”). So, when a new word appears, please be aware of considering the meaning of it.
Course keywords
Random variable, Mean, Variance, Probability distribution, Central limit theorem, Interval estimation, Hypothesis test
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
9/19/2018 1:44:31 PM