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STAT 324: Introduction to Statistics for Science and Engineering STAT 324: Introduction to Statistics for Science and Engineering
Fall 2026 · UW–Madison
Notes on using data to estimate quantities, test hypotheses, and understand relationships in science and engineering, with computations and visualizations in R.
Topics
- Data summaries, probability, and random variables
- Estimation, confidence intervals, and hypothesis testing
- Experimental design and analysis of variance
- Correlation, linear regression, and model checking
Notes
- Lecture Notes
- R worksheets: Lecture 02 worksheet · Lecture 03 worksheet · Lecture 04 worksheet · Lecture 05 worksheet · Lecture 06 worksheet · Lecture 07 worksheet
- Lecture 01: Introduction to Statistics
- Lecture 02: Descriptive Statistics and RStudio
- Lecture 03: Probability and Simulation
- Lecture 04: Random Variables, Binomial and Normal Distributions
- Lecture 05: Statistics, Estimators, and the Central Limit Theorem
- Lecture 06: Point Estimates and Confidence Intervals
- Lecture 07: One-Sample Hypothesis Tests and Power
- Lecture 08: Sign Tests and Population Proportions
- Lecture 09: Inference from Two Independent Samples · Worked rebar example
- R worksheets: Sign tests and proportions · Two independent samples
- GLC practice worksheets and supplied solutions
- Homework
- Weeks 1–5 and 7 quizzes and review answers
- Exams · Midterm 1 sample exams and solutions
- Midterm 2 sample exams and solutions
- Midterm 1 refresher · Reference sheet
- Homework 4: Random Variables, Normal Distributions, and Sampling Distributions
- Homework 5: Common Random Variables and Combining Random Variables into Estimators
- Homework 7: Confidence Intervals, Bootstrap T, and Testing Errors
- Homework 8: Hypothesis Tests, Power, and Confidence Intervals
- Homework 9: Sign Tests, Proportions, and Two-Sample Inference
- Homework 10: Two-Sample Inference
- Week 7 quiz: Confidence Intervals and Hypothesis Testing
- Syllabus and Course Details