Syllabus for Statistical Analysis
Syllabus for Statistical Analysis
Syllabus for Statistical Analysis
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<strong>Syllabus</strong> <strong>for</strong> <strong>Statistical</strong> <strong>Analysis</strong><br />
Spring 2013<br />
Instructor: Young gui Kim<br />
Class hour: Saturday 9:00 ~ 12:00<br />
Contact In<strong>for</strong>mation:<br />
Office: 300-4 Yomgok-dong, Seocho-gu, Korea Institute <strong>for</strong> International Economic<br />
Policy (KIEP), Seoul 137-737, Korea<br />
Office Phone: 02-3460-1188<br />
E-mail: ygkim@kiep.go.kr<br />
Office Hours: by appointment<br />
Course Description: This course is primarily designed to introduce principles of<br />
statistics in a practical way <strong>for</strong> those students who have not taken any rigorous statistics<br />
courses. Accordingly, emphasis will be laid on the introduction of basic concepts and<br />
approaches of statistics and on practical issues. After taking this course, it is hoped that<br />
the students can have basic data analysis skills and their own views on social issues that<br />
appear in the news media, albeit rudimentary.<br />
Main Reading: Keller, G., Managerial Statistics, 9 th ed., South-Western<br />
Course Grades: Grades will be based on two homework, and midterm & final exam<br />
with attendance. The final grade <strong>for</strong> the course consists of (i) Attendance (10%), (ii) 1<br />
Midterm exam (40%) and (iii) 1 Final exam (50%).<br />
.<br />
Students absent more than 3 classes <strong>for</strong> this course may not receive credit. There will be NO<br />
make-up exam. Students who miss their midterm exams <strong>for</strong> medical reasons and can provide<br />
appropriate documentation may be eligible to have the weight of their midterm exam transferred<br />
to the final exam if they in<strong>for</strong>m the course director and submit the supporting documents within<br />
one week of the test date and receive permission from the course director prior to the final exam.<br />
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Preliminary Class Schedule and Course Outline:<br />
Time Topic Required Reading<br />
Week 1<br />
Week 2<br />
Week 3<br />
Week 4<br />
Week 5<br />
Week 6<br />
Week 7<br />
Week 8<br />
Week 9<br />
Week 10<br />
Week 11<br />
Week 12<br />
Week 13<br />
Week 14<br />
Week 15<br />
Orientation<br />
What is Statistics?<br />
Graphical and Tabular Descriptive<br />
Techniques<br />
Art and Science of Graphical<br />
Presentations<br />
Numerical Descriptive Techniques<br />
Numerical Descriptive Techniques<br />
Data Collection and Sampling<br />
Probability<br />
Random Variables and Discrete<br />
Probability Distributions<br />
Continuous Probability Distributions<br />
Mid-Term<br />
Sampling Distributions<br />
Introduction to Estimation<br />
Introduction to Hypothesis testing<br />
Inference about Population<br />
<strong>Analysis</strong> of Variance<br />
Exercises<br />
Final Exam<br />
The schedule is subject to change. You are responsible <strong>for</strong> following up all the announcements<br />
made during the lectures.<br />
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