STATS116
Theory of Probability
Statistics
H&S - Humanities & Sciences
Course Description
Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the laws of large numbers and central limit theorem. Prerequisites: MATH 52 and familiarity with infinite series, or equivalent. Undergraduate students enroll for 5 units, graduate students enroll for 4 units. Undergraduate students must enroll in one section in addition to the main lecture. Sections are optional for graduate students. Note: Autumn 2023-24 is the last time this course will be offered. It will be replaced by STATS 117 and STATS 118 in 2024-25.
Grading Basis
ROP - Letter or Credit/No Credit
Min
4
Max
5
Course Repeatable for Degree Credit?
No
Course Component
Discussion
Enrollment Optional?
No
Course Component
Lecture
Enrollment Optional?
No
This course has been approved for the following WAYS
Formal Reasoning (FR), Applied Quantitative Reasoning (AQR)
Does this course satisfy the University Language Requirement?
No
Courses
STATS116
is a
completion requirement
for:
STATS116
is a
prerequisite
for:
Programs
STATS116
is a
completion requirement
for: