A calculus-based introduction to probability theory and statistical inference. Topics include probability, random variables, discrete and continuous distributions, sampling distributions, confidence intervals, hypothesis testing, and linear regression. This course also provides basic introduction to statistical programming language R. Meets the Critical Perspectives: Scientific Investigation of the Natural World requirement. Meets the Critical Perspectives: Quantitative Reasoning requirement. Meets the Critical Learning: FRL requirement. Meets the Critical Learning: SA requirement.

Prerequisite: Mathematics 125 or Mathematics 126. No Credit after Mathematics 117.

Degree requirement — Critical Learning: FRL, Critical Learning: SA, Critical Perspectives: I, Critical Perspectives: Q

1 unit — Kim, Sancier-Barbosa

Offerings

Term	Block	Title	Instructor	Location	Student Limit/Available	Updated
Fall 2023	Block 1	Introduction to Probability and Statistics	Minho Kim	Tutt Science Building 229	25 / 4	04/25/2024
Fall 2023	Block 2	Introduction to Probability and Statistics	Flavia Sancier-Barbosa	Palmer Hall 122	25 / 4	04/25/2024
Spring 2024	Block 6	Introduction to Probability and Statistics	Minho Kim	Tutt Science Building 229	25 / -1	04/25/2024
Fall 2024	Block 3	Introduction to Probability and Statistics	Flavia Sancier-Barbosa	TBA	25 / 25	04/25/2024
Spring 2025	Block 7	Introduction to Probability and Statistics	Minho Kim	TBA	25 / 25	04/25/2024