STAT 202-DL
Introduction to Statistics and Data Science
This course provides an introduction to the basic concepts of statistics. Throughout the course, students will learn to: summarize data using graphs and tables; explain/calculate descriptive statistics, confidence intervals, correlation, regression, and probability; and explain tests of significance and data-production including sampling and experiments. Basic knowledge of algebra is recommended.
2026 Fall
Topics
- By the end of this course, you will be able to: Identify situations in which statistical tests are appropriate and the general rationale for their application. Distinguish situations in which each of the following statistical tests are appropriate: Z-test, one-sample t-test, paired t-test, two-sample t-test, correlation, regression, multiple regression, chi-squared. Conduct the statistical tests from the second bullet point above using computer software and identify the key aspects of the output. Using the results of the statistical tests, write informative results for these tests. List, and conduct, the steps necessary for statistical inference. Distinguish Type 1 and Type 2 errors and factors that influence (and do not influence) them. Identify some of the statistical reasons for the current replication crisis in science.
Readings
- Materials available in Canvas.
Sources
- Course catalogue ↗2026–2027
- Official class description ↗2026 Fall