Introduction to Probability Theory

Lecture

Main Campus

Course Description

Introduction to probability theory, including probability axioms, conditional probability, independence, random variables, and expectation. Joint, marginal, and conditional distributions. Discrete models (binomial, hypergeometric, Poisson) and continuous models (normal, exponential). Prerequisites: MATH 21 or AP Calculus BC.

STATS 117

Units: 3–4

See When It's Offered

Typically Offered

Autumn, Spring

Grading Basis

Letter or Credit/No Credit

Class Level

Undergraduate

Instructional Mode

In Person

Gen Ed Requirement(s)

WAYS - Applied Quantitative Reasoning (AQR)

WAYS - Formal Reasoning (FR)

Additional Information

Enrollment Requisites
Specific requirements or conditions that must be completed before or at the same time as you enroll.
Recommended Preparation
Courses, skills, or experiences that are suggested to help students succeed, but are not required for enrollment.
Rules
Specific policies or restrictions that apply to this course.

Introduction to Probability Theory

Course Description

Typically Offered

Grading Basis

Class Level

Instructional Mode

Gen Ed Requirement(s)

Additional Information

Enrollment Requisites

Recommended Preparation

Rules

Introduction to Probability Theory

Course Description

Typically Offered

Grading Basis

Class Level

Instructional Mode

Gen Ed Requirement(s)

Additional Information

Enrollment Requisites

Recommended Preparation

Rules