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 2023 Block 1 Introduction to Probability and Statistics Minho Kim Tutt Science Building 229 25 / 4 06/23/2024
Fall 2023 Block 2 Introduction to Probability and Statistics Flavia Sancier-Barbosa Palmer Hall 122 25 / 4 06/23/2024
Spring 2024 Block 6 Introduction to Probability and Statistics Minho Kim Tutt Science Building 229 25 / -1 06/23/2024
Fall 2024 Block 3 Introduction to Probability and Statistics Flavia Sancier-Barbosa TBA 25 / 7 06/23/2024
Spring 2025 Block 7 Introduction to Probability and Statistics Minho Kim TBA 25 / 25 06/23/2024
Report an issue - Last updated: 06/23/2024