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
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)