1610Fall 2020, Spring 2021
3 Credits

Fundamentals of Statistics

An introduction to statistical reasoning
Simon Koo 古嘉文
Course Introduction
Simon Koo 古嘉文
Simon Koo 古嘉文Ph.D. Purdue University

Executive Director

Based in Beijing


Dr. Simon Koo joined TBC in 2017, bringing over a decade of teaching, research, and administration experience in higher education. He is currently the Executive Director of TBC.

  • International Education
  • Social Entrepreneurship
  • STEM Education
  • Data Science

Fundamentals of Statistics

UIBE serves as our School of Record
3 Credits
Download Syllabus

Course Description

An introduction to statistical reasoning. Students learn how statistics has helped to solve major problems in economics, education, genetics, medicine, physics, political science, and psychology. Topics include: design of experiments, descriptive statistics, mean and standard deviation, the normal distribution, the binomial distribution, correlation and regression, sampling, estimation, and testing of hypothesis.

Courses Outcomes

Statistics can be defined as the science of reasoning from data. Data and statistical thinking abound in everyday life and in almost all academic disciplines, so the ability to reason with data is essential to educated citizenship. This course will focus on understanding statistical concepts and reasoning; organizing, interpreting and producing data; analyzing statistical arguments and communicating findings clearly; and appreciating the relevance of statistics to contemporary society. After successful completion of this course, students will be able to:

  • Construct and interpret graphical and numerical summaries of data;
  • Describe many of the fundamental ideas of statistics, such as variability, distribution,association, sampling;
  • Describe how the nature of data collection methods affects the scope of the conclusionsthat can be drawn from statistical studies (especially cause and effect) the role ofprobability in sampling and experiments;
  • Apply the normal distribution and the Central Limit Theorem;
  • Comprehend the basics of statistical inference: estimation, assessing statisticalsignificance, statistical reasoning, and apply and interpret the results of a variety of statistical techniques;
  • Analyze and assess statistical arguments, such as those found in the popular press and scholarly publications;
  • Communicate knowledge of statistical ideas effectively.