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2020　Statistics A

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Academic unit or major
Humanities and social science courses
Instructor(s)
Kezuka Kazuhiro 
Class Format
Lecture    (ZOOM)
Media-enhanced courses
Day/Period(Room No.)
Mon5-6(W541)  
Group
-
Course number
LAH.T101
Credits
1
Academic year
2020
Offered quarter
2Q
Syllabus updated
2020/9/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

Recently, statistics have been attracting attention with emergence of big data. This is because we need statistical knowledge and sense to analyze data on people or society. This course focuses the basic concepts of statistics (descriptive statistics, correlation, test, estimation, etc.), and shows some applications of statistics in the social science.
Through this course, students learn the basic concepts of statistics and nurture the ability to tackle social issues with them.

Student learning outcomes

By the end of this course, students will be able to:
1) Understand the basics of statistics.
2) Understand nature of statistical methods (descriptive statistics, correlation, test, estimation).
3) Understand how apply statistics to the social sciences.

Keywords

descriptive statistics, cross tabulation, correlation, spurious correlation, test, estimation, social survey

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 lecture about basic statistics based on the textbook. Students should solve some problems and submit their answers at the end of each class. At the end of term, students must submit the final report.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction: statistics in social science Understand the idea of statistics through some applications of statistics in the social science.
Class 2 Collect data: social survey Understand how social surveys collect data.
Class 3 Summarize data: descriptive statistics Understand descriptive statistics.
Class 4 Caputure relationships: cross tabulation and correlation Understand cross tabulation and correlation.
Class 5 Control variables: spurious correlation Understand sprious correlation and controlling variables.
Class 6 Test hypotheses and estimate statistics: test and estimation Understand test and estimation.
Class 7 Future of statistics Consider the applicability of statistics.

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

Textbooks will be specified by the instructor.

Reference books, course materials, etc.

Course materials will be specified by the instructor.

Assessment criteria and methods

Students’ course scores are based on class reports 30% and the final report 70%.

Related courses

  • LAH.T201 ： Statistics B
  • LAH.T301 ： Statistics C

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Nothing required.

Contact information (e-mail and phone)    Notice : Please replace from "[at]" to "@"(half-width character).

kkezuka[at]ila.titech.ac.jp

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