Carnegie Mellon University

Introduction to Probability and Statistics

Course Number: 46880

This course introduces tools for decision-making under uncertainty, ranging from the fundamentals of probability theory, decision theory, and statistical models to basic software for data analysis. Topics include statistical independence, conditional probability, Bayes theorem, discrete and continuous distributions, expectation and variance, decision trees, sampling and sampling distributions, interval estimation, correlation, and simple regression.

Degree: MSBA
Academic Year: 2022-2023
Semester(s): Mini 2, Mini 1
Required/Elective: Elective
Units: 6


Lecture: 100min/wk and Recitation: 50min/wk