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PRI200FA(情報学基礎 / Principles of informatics 200)
Basic Statistics I

Makoto TAKAHASHI

Class code etc
Faculty/Graduate school Faculty of Law
Attached documents
Year 2024
Class code A4307
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 火3/Tue.3
Class Type 講義
Campus 市ヶ谷
Classroom name 市外濠‐S307
Grade 2~4
Credit(s) 2
Notes 経営学部「基礎統計学Ⅰ(A4307)」との合併科目
Open Courses
Open Courses (Notes)
Global Open Courses
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category (法律学科)
Category (政治学科(2021年度以降入学者)) 選択科目(他学科との共通科目・その他)
Category (政治学科(2020年度以前入学者)) 選択科目(84単位以上)
選択科目(政治学科主催科目)
Category (国際政治学科(2021年度以降入学者))
Category (国際政治学科(2020年度以前入学者))

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Outline (in English)

Collecting/summarizing data and capturing the structure behind the data are important skills irrespective of fields. A collection of methods for summarizing the data so that we can see its features easily is called “descriptive statistics.” On the other hand, a collection of methods for inferring the data-generating structure is called “inferential statistics” or “statistical inference.” In this course, we learn basic elements of the “descriptive statistics” and “inferential statistics” based on “probability theory.”
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Learning activities outside of classroom:
- Review the text and materials after class to check your understanding of the basic concepts.
- Solve the practice problems in the text as homework.
- The standard preparation and review time for this class is 2 hours each.
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Grading Criteria:
- Final exam 100%

Default language used in class

日本語 / Japanese