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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Teacher education courses
- Instructor(s)
- Yamagishi Kimihiko
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Wed1-2(W9-607)
- Group
- -
- Course number
- LAT.A401
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 1Q
- Syllabus updated
- 2018/3/20
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course focuses on the basic statistical methods: how to collect data, how to draw graphs, and statistical inference.
Student learning outcomes
The goal of this course is to master the basic techniques of statistics often used in the areas of education and psychology.
Keywords
Introductory and intermediate statistics
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
The instructor will mainly give lectures in class. Exercises using software R will be provided in LAT.A403: Practices for Psychological and Educational Measurement A.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | |
| Class 2 | Basic Statistics, Correlation, Regression | Master the definition of basic statistics. |
| Class 3 | Introduction to statistical inference | Master the idea of statistical inference. |
| Class 4 | Inference on the population mean. | Null hypothesis |
| Class 5 | Inference on the two population means. | Test of the difference of the means. |
| Class 6 | Inference on several population means | One way ANOVA |
| Class 7 | Analysis of variance | Two way ANOVA |
| Class 8 | Review |
Textbook(s)
Handouts will be provided.
Reference books, course materials, etc.
Introduced when necessary.
Assessment criteria and methods
attendance: 20%
exam: 80%
Related courses
- LAT.A403 ： Practices for Psychological and Educational Measurement A
- LAT.A402 ： Introduction to Psychological and Educational Measurement B
- LAT.A404 ： Practices for Psychological and Educational Measurement B
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
