STAT 201

Statistics I

4 Undergraduate credits
Effective August 1, 1998 – Present

Graduation requirements this course fulfills

This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression.

Learning outcomes


  • Demonstrate comprehension and ability to apply inferential statistics, including construction of confidence intervals for point estimates and simple hypothesis tests.
  • Recognize appropriate use of different statistical models to represent and answer questions about representative real-world problems involving categorical and quantitative data.
  • Understand and apply statistical concepts including probability, regression and correlation, experimental design, descriptive statistics and inferential statistics.
  • Understand statistical principles and methods for data collection and analysis.