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)

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MATH-UA 234-000 (8382)
01/24/2022 - 05/09/2022 Tue,Thu
12:00 AM - 1:00 PM (Early afternoon)
at Washington Square
Instructed by Nitzschner, Maximilian

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MATH-UA 234-000 (8383)
01/24/2022 - 05/09/2022 Fri
2:00 PM - 3:00 PM (Early afternoon)
at Washington Square
Instructed by Plotkin, Ted

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MATH-UA 234-000 (9440)
01/24/2022 - 05/09/2022 Tue,Thu
3:00 PM - 4:00 PM (Late afternoon)
at Washington Square
Instructed by Dies, Erik

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MATH-UA 234-000 (9441)
01/24/2022 - 05/09/2022 Fri
3:00 PM - 4:00 PM (Late afternoon)
at Washington Square
Instructed by Plotkin, Ted