# STAT 324: Introduction to Statistics for Science and Engineering

Source: https://wisconsin.twango.dev/fa26-stat324/README

# 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

- [[lectures/index|Lecture Notes]]
- R worksheets: [[fa26-stat324/lectures/worksheets/lecture-02.Rmd|Lecture 02 worksheet]] · [[fa26-stat324/lectures/worksheets/lecture-03.Rmd|Lecture 03 worksheet]] · [[fa26-stat324/lectures/worksheets/lecture-04.Rmd|Lecture 04 worksheet]] · [[fa26-stat324/lectures/worksheets/lecture-05.Rmd|Lecture 05 worksheet]] · [[fa26-stat324/lectures/worksheets/lecture-06.Rmd|Lecture 06 worksheet]] · [[fa26-stat324/lectures/worksheets/lecture-07.Rmd|Lecture 07 worksheet]]
- [[lectures/lecture-01|Lecture 01: Introduction to Statistics]]
- [[lectures/lecture-02|Lecture 02: Descriptive Statistics and RStudio]]
- [[lectures/lecture-03|Lecture 03: Probability and Simulation]]
- [[lectures/lecture-04|Lecture 04: Random Variables, Binomial and Normal Distributions]]
- [[lectures/lecture-05|Lecture 05: Statistics, Estimators, and the Central Limit Theorem]]
- [[lectures/lecture-06|Lecture 06: Point Estimates and Confidence Intervals]]
- [[fa26-stat324/lectures/lecture-07|Lecture 07: One-Sample Hypothesis Tests and Power]]
- [[fa26-stat324/lectures/lecture-08|Lecture 08: Sign Tests and Population Proportions]]
- [[fa26-stat324/lectures/lecture-09|Lecture 09: Inference from Two Independent Samples]] · [[fa26-stat324/lectures/rebar-example|Worked rebar example]]
- R worksheets: [[fa26-stat324/lectures/worksheets/lecture-08.Rmd|Sign tests and proportions]] · [[fa26-stat324/lectures/worksheets/lecture-09.Rmd|Two independent samples]]
- [[fa26-stat324/discussions/index|GLC practice worksheets and supplied solutions]]
- [[homework/index|Homework]]
- [[quizzes/index|Weeks 1–5 and 7 quizzes and review answers]]
- [[exams/index|Exams]] · [[exams/midterm-1/index|Midterm 1 sample exams and solutions]]
- [[fa26-stat324/exams/midterm-2/index|Midterm 2 sample exams and solutions]]
- [[exams/midterm-1/review|Midterm 1 refresher]] · [[exams/midterm-1/cheatsheet|Reference sheet]]
- [[fa26-stat324/homework/hw4.Rmd|Homework 4: Random Variables, Normal Distributions, and Sampling Distributions]]
- [[fa26-stat324/homework/hw5.Rmd|Homework 5: Common Random Variables and Combining Random Variables into Estimators]]
- [[fa26-stat324/homework/hw7.Rmd|Homework 7: Confidence Intervals, Bootstrap T, and Testing Errors]]
- [[fa26-stat324/homework/hw8.Rmd|Homework 8: Hypothesis Tests, Power, and Confidence Intervals]]
- [[fa26-stat324/homework/hw9|Homework 9: Sign Tests, Proportions, and Two-Sample Inference]]
- [[fa26-stat324/homework/hw10|Homework 10: Two-Sample Inference]]
- [[fa26-stat324/quizzes/week-07|Week 7 quiz: Confidence Intervals and Hypothesis Testing]]
- [[course-details|Syllabus and Course Details]]

## Resources

- [Canvas](https://canvas.wisc.edu/courses/527199)
- [R](https://cran.r-project.org/)
- [RStudio](https://docs.posit.co/ide/user/#rstudio-ide-oss-downloads)