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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
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- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 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
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Teacher education courses
- Instructor(s)
- Kuriyama Naoko Hagiuda Nobuko
- Class Format
- Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Thr5-6(W9-607)
- Group
- -
- Course number
- LAT.A403
- 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 is a companion exercise course of LAT.A401 in which students learn how to use R to do the statistical analysis of educational data.
Student learning outcomes
Master the basics of R language and its statistical packages.
Keywords
Statistical data analysis, R
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Students will do the assignment with the help of instructors.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | |
| Class 2 | Data frame | Reading data into R |
| Class 3 | Histogram, cross tabulation | Calculation of basic statistics |
| Class 4 | Correlation and regression | Scatter plot and regression |
| Class 5 | Statistical inference on population mean | t test |
| Class 6 | Oneway ANOVA | Oneway ANOVA |
| Class 7 | Twoway ANOVA | Twoway ANOVA |
| Class 8 | Review |
Textbook(s)
Handouts will be provided.
Reference books, course materials, etc.
Introduced when necessary.
Assessment criteria and methods
attendance: 40%
assignment: 60%
Related courses
- LAT.A401 ： Introduction to Psychological and Educational Measurement A
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Equivalent know\ledge of LAT.A401
