Academic Year |
2024Year |
School/Graduate School |
School of Education |
Lecture Code |
CC221503 |
Subject Classification |
Specialized Education |
Subject Name |
数理統計学概論 |
Subject Name (Katakana) |
スウリトウケイガクガイロン |
Subject Name in English |
Descriptive Statistics |
Instructor |
MONDEN REI |
Instructor (Katakana) |
モンデン レイ |
Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 2Term |
Days, Periods, and Classrooms |
(2T) Fri1-4:EDU L102 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
|
Lecture-oriented, Note-taking |
Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
Course Level |
2
:
Undergraduate Low-Intermediate
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
01
:
Mathematics/Statistics |
Eligible Students |
|
Keywords |
The basics of mathematical statistics |
Special Subject for Teacher Education |
|
Special Subject |
|
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
---|
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Secondary School Mathematics Education (Knowledge and Understanding) ・To understand basic knowledge of teaching contents of mathematic education. (Abilities and Skills) ・To acquire and utilize the ability to think mathematically about teaching contents of mathematic education such as algebra, geometry, statistics and computer. |
Class Objectives /Class Outline |
The objectives of this course are: - to enhance education and teaching skills of statistics, - to acquire the basic knowledge of mathematical statistics - to acquire mathematical thinking and unique ways of thinking concerning statistics, and - learn to apply statistics to actual data analysis |
Class Schedule |
Lesson1: Guidance, What is Statistics? Extraction of Data and Samples
Lesson2: Frequency Distribution
Lesson3: Center Characteristic Value
Lesson4: Variation in Characteristic Value
Lesson5:Corelation
Lesson6: Regression
Lesson7: Probability, Discrete Probability Distribution
Lesson8; Continuous Probability Distribution
Lesson9: Sample Distribution1
Lesson10: Sample Distribution2
Lesson11:Point Estimation
Lesson12: Interval Estimation1
Lesson13: Interval Estimation2
Lesson14: Hypothesis Testing1
Lesson15: Hypothesis Testing2 |
Text/Reference Books,etc. |
Handouts will be distributed. Reference books will be introduced in class. |
PC or AV used in Class,etc. |
|
(More Details) |
Movies (PC) |
Learning techniques to be incorporated |
|
Suggestions on Preparation and Review |
In mathematic statistics, you need to understand the logic of statistics about data, rather than just solving formulas in order. You sometime cannot understand solved formulas if you do not have knowledge of statistics. You should try to understand the logic of statistics through this course and prepare for and review each lesson well. This lecture will be provided by face-to-face format, only. |
Requirements |
|
Grading Method |
exercises and reports |
Practical Experience |
|
Summary of Practical Experience and Class Contents based on it |
|
Message |
|
Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |