Prerequisite: a grade of C or better in Theory of Probability (MATH-UA 233) or equivalent. Not open to students who have taken Probability and Statistics (MATH-UA 235). Introduction to the mathematical foundations and techniques of modern statistical analysis used in the interpretation of data in quantitative sciences. Mathematical theory of sampling; normal populations and distributions; chi-square, t, and F distributions; hypothesis testing; estimation; confidence intervals; sequential analysis; correlation, regression, and analysis of variance. Applications to the sciences.
Math (Undergraduate)
4 credits – 15 Weeks
Sections (Spring 2022)
MATH-UA 234-000 (8382)01/24/2022 – 05/09/2022 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at Washington SquareInstructed by Nitzschner, Maximilian
MATH-UA 234-000 (8383)01/24/2022 – 05/09/2022 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Plotkin, Ted
MATH-UA 234-000 (9440)01/24/2022 – 05/09/2022 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Dies, Erik
MATH-UA 234-000 (9441)01/24/2022 – 05/09/2022 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Plotkin, Ted