← MATH 256 (current)

Archived Semester

MATH 256: Probability & Statistics I — Summer 2026

An introduction to probability theory and statistical inference, covering descriptive statistics, probability distributions, sampling, and hypothesis testing. Prerequisite: MATH 115 or equivalent.

Section Summer 2026

General Information

Class began May 26, 2026, ended July 17, 2026.

Syllabus: MATH 256-01W Summer 2026 (.docx)

Textbook: Triola, M.F. (2023). MyLab Statistics for Essentials of Statistics (7th ed.). New York, NY: Pearson Addison-Wesley.

Other resources: LibreTexts — Introductory Statistics, OpenStax — Introductory Statistics 2e, and free statistical tools including Statdisk Online, Excel, Google Sheets, R, Python, and JASP.

Lecture Notes by Topic

GoodNotes links — opens in the GoodNotes app or web viewer.

If you're viewing these notes in the GoodNotes app, please don't annotate the original — it's synced live with my edits. Make your own copy to take notes on.

Introduction: Why Learn Statistics?
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 10