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MATH 256: Probability & Statistics I

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

Current Sections Fall 2026

General Information

Class begins August 17, 2026, ends December 10, 2026. See the Academic Calendar for details.

Syllabus: MATH 256-02W Fall 2026 (.pdf)

Textbook: Triola, M.F. (2023). MyLab Statistics for Essentials of Statistics (7th ed.). New York, NY: Pearson Addison-Wesley. Instructions for accessing MyLab assignments are sent by email.

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

Office Location and Office Hours: Science Hall 202A — MW 11:00 AM – 1:00 PM, F 11:00 AM – 12:00 PM, or by appointment.

Lecture Notes by Topic

Lecture notes (PDF) plus supplementary videos and tools by chapter.

Quizzes and exams are listed for pacing — they don't link anywhere.

Introduction: Why Learn Statistics?
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 10
Past Semesters Complete Record · 15 terms
  • Summer 2026 (256-01W, Online)
  • Spring 2026 (256-02W, Online)
  • Spring 2026 (256-01, 11:00 – 11:50 AM)
  • Fall 2025 (256-01, 1:00 – 1:50 PM)
  • Fall 2025 (256-02W, Online)
  • Summer 2025 (Online)
  • Spring 2025 (256-02, 11:00 – 11:50 AM)
  • Fall 2024 (256-01, 1:00 – 1:50 PM)
  • Fall 2024 (256-02, 9:30 – 10:45 AM)
  • Summer 2024 (256)
  • Spring 2024 (256-01, 10:00 – 10:50 AM)
  • Spring 2024 (256-02, 11:00 AM – 12:15 PM)
  • Fall 2023 (256-01, 10:00 – 10:50 AM)
  • Fall 2023 (256-02, 12:00 – 12:50 PM)
  • Summer 2023 (256)