ST101 - Statistics by Example
- Prerequisites: None
- Term & Frequency: Fall and Spring
- Student Audience: Freshman or higher students
- Credit: 3 credits
- Recent Texts: Statistics: Concepts and Controversies, 7th edition, by Moore and Notz
- Recent Instructors: Herle McGowan, Webster West
- Background and Goals: The central theme of the course is to help you learn to understand the world from data. Specifically, the course will enable you to: 1) incorporate statistical thinking into your everyday lives; and 2) acquire the necessary data-gathering, data-analysis, interpretation, and communication expertise to meet the challenges of a more demanding cognitive global environment. This course will require you to: think critically, be skeptical, think about variation, and move beyond a "memorize the answer" approach. Some mathematical skill is required to work with elementary statistics, but mathematical manipulations will be replaced by relying on technology for the calculations and graphics.
- Content: Sampling, experimental design, tables and graphs, relationships among variables, probability, estimation, hypothesis testing. Real life examples from the social, physical and life sciences, the humanities and sports.
- Alternatives: None
- Subsequent Courses: None
S1 2017 Sections:
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