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Course Description of Elementary Statistics for Social Research

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Course Description of Elementary Statistics for Social Research
Satoru SHIMOKAWA, SOSC1100, Fall 2013

SOSC1100 Elementary Statistics for Social Research
[Common Core (QR) for 4 year program]
Fall 2013
Lectures: Wed and Fri, 13:30-14:50 / Rm. 4620, Academic Building (Lift 31-32)
Course Website: http://lmes2.ust.hk
INSTRUCTOR: SHIMOKAWA, Satoru
OFFICE: 3370 Academic Building
EMAIL: sosatoru@ust.hk
OFFICE HOURS: Fridays, 3:00pm – 5:00pm
TEACHING ASSISTANT: Stephen Choy
OFFICE: 3001
EMAIL: choyho@ust.hk
OFFICE HOURS: TBA
1. Course Description:
This course aims to help students to learn how to design and conduct a statistical analysis to explore an important social issue by connecting between theory, survey, and data analysis. Students gain hands-on experience of statistical analysis by designing how to analyze real social survey data by themselves. The course consists of two parts, a lecture part and a group project part. The lecture part emphasizes the acquisition of basic statistics including survey methods, descriptive statistics, point and interval estimation, testing hypotheses, analysis of variance, and regression analysis. For a group project part, a group conducts a statistical analysis using actual survey data; present about the analysis in a class; and submit a written report for the group project. There are also assignments, a mid-term exam and a final exam on related subjects.
The course website listed above will provide most course materials such as PPT slides, lecture notes, assignments, exercises and links to other learning resources. You may use your ITSC username and password to log in. All copyrights, however, are reserved. If you need further assistance for the course (e.g., questions about assignments), you are very welcome to use our office hours.
2. Course Intended Learning Outcomes (ILOs):
1) Develop more confidence and appreciation in using basic statistics to describe and clarify apparently unclear relationships among socioeconomic factors.
2) Learn how to design and



References:  Deadline: Each group must e-mail a soft copy to the instructor (sosatoru@ust.hk) by 5pm Dec 7 (Sat), 2013.

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