MA217 - Introduction to Probability and Statistics
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 2024 | Block 3 | Introduction to Probability and Statistics | Flavia Sancier-Barbosa | Armstrong Hall 301 | 25 / -1 | 12/02/2024 |
Spring 2025 | Block 7 | Introduction to Probability and Statistics | Minho Kim | TBA | 25 / 25 | 12/02/2024 |