This interdisciplinary course introduces students to the principles of statistics and the habits of critical thinking needed to make sense of an information-rich world. Students learn to collect, summarize, and interpret data while developing the ability to question evidence, identify bias, and evaluate arguments. Topics include descriptive and inferential statistics, probability, sampling methods, and statistical reasoning in everyday contexts. Through hands-on labs and real-world case studies, students apply statistical tools and critical analysis to interpret data-driven claims in science, media, and society. The course emphasizes ethical use of data, clear communication, and informed decision-making. No prior experience in mathematics or programming is required.
This program is High-Flex, meaning it can be completed completely online or in-person. This offering will include lectures and workshops. Our approach will emphasize participation in synchronous (live) sessions in order to provide the opportunity for questions and interactive learning. The material will be presented in modules, allowing flexibility of scheduling and the ability to learn in both online and asynchronous settings. Synchronous sessions will be recorded for students to review outside of our class meeting time.
Students should review and have a solid understanding of pre-algebra concepts before starting this course.
Anticipated Credit Equivalencies:
4 - Statistics and Critical Thinking
Registration
Academic Details
$15-$20 for a statistical calculator (graphing calculator not required)