INTRODUCTION TO STATISTICAL METHODS

Prerequisites & course information

Requisites: Satisfied Quantitative Reasoning (QR) A. Not open to students with credit for STAT 302, 324 , or 371 . Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Comm QR - Quantitative Reasoning B Breadth - Natural Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe statistics as a discipline and why statistics can be useful for furthering scientific research Audience: Undergraduate 2. Demonstrate a general understanding of the core concepts of statistics, including probability, sampling distributions, estimation, confidence intervals, and hypothesis testing Audience: Undergraduate 3. Create useful graphs and summaries of data, and perform basic statistical analyses when appropriate, including one- and two-sample and paired tests for means, chi-squared tests, correlations, and simple linear regressions Audience: Undergraduate 4. Correctly interpret statistical graphs and results in terms of the original scientific context in which the data was gathered, and identify common pitfalls that lead to compromised or misleading results Audience: Undergraduate 5. Recognize when to seek statistical help and have a sufficient understanding of statistical terminology to communicate meaningfully with a professional statistician Audience: Undergraduate Learning Outcomes: 1. Describe statistics as a discipline and why statistics can be useful for furthering scientific research Audience: Undergraduate 2. Demonstrate a general understanding of the core concepts of statistics, including probability, sampling distributions, estimation, confidence intervals, and hypothesis testing Audience: Undergraduate 3. Create useful graphs and summaries of data, and perform basic statistical analyses when appropriate, including one- and two-sample and paired tests for means, chi-squared tests, correlations, and simple linear regressions Audience: Undergraduate 4. Correctly interpret statistical graphs and results in terms of the original scientific context in which the data was gathered, and identify common pitfalls that lead to compromised or misleading results Audience: Undergraduate 5. Recognize when to seek statistical help and have a sufficient understanding of statistical terminology to communicate meaningfully with a professional statistician Audience: Undergraduate