Seoul, South Korea
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
Course Description and Objectives
This course provides a broad introduction to statistical practice and data analysis techniques. It aims to equip students with a basic understanding of statistics so that they can employ appropriate methods of analysis in various circumstances. The techniques learned are widely used in the sciences, social sciences, business and many other fields of study. Topics covered include collecting data, getting information from data, data manipulation, statistical inference, regression and analysis of categorical data.
By the end of this course students should be able to:
1. organize and summarize data graphically and numerically
2. identify the appropriate technique to use when analyzing data within the scope of the techniques covered
3. communicate the results from the analysis by writing a short report
4. manipulating and analyzing data using Microsoft Excel and statistical software R
Mind on Statistics 5th Edition by Jessica M. Utts and Robert F. Heckard
Course materials will be posted on the course webpage via blackboard.
Courses and course hours of instruction are subject to change.