INTRODUCTION TO STATISTICS FOR SCIENCE AND ENGINEERING
Descriptive statistics, probability concepts and distributions, random variables. Hypothesis tests and confidence intervals for one- and two-sample problems. Linear regression, model checking, and inference. Analysis of variance and basic ideas in experimental design. Utilizes the R programming language.
Prerequisites & course information
Requisites: MATH 211 , 217, or 221 . Not open to students with credit for STAT 371 . Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Articulate the basics of probability and statistics. Audience: Undergraduate 2. Make numeric and graphical summaries of simple data Audience: Undergraduate 3. Produce appropriate statistical analyses of simple data sets Audience: Undergraduate 4. Design simple experiments with data that will suit basic statistical analysis Audience: Undergraduate 5. Use R for statistical computations and graphs Audience: Undergraduate 6. Learn additional statistical methods Audience: Undergraduate Learning Outcomes: 1. Articulate the basics of probability and statistics. Audience: Undergraduate 2. Make numeric and graphical summaries of simple data Audience: Undergraduate 3. Produce appropriate statistical analyses of simple data sets Audience: Undergraduate 4. Design simple experiments with data that will suit basic statistical analysis Audience: Undergraduate 5. Use R for statistical computations and graphs Audience: Undergraduate 6. Learn additional statistical methods Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027