|
|||
STAT 1151 - INTRODUCTION TO PROBABILITYMinimum Credits: 3 Maximum Credits: 3 This course presents at both a theoretical and applied level the basic probability concepts required for statistical inference. Topics include set theory and basic probability, independence and Bayes' theorem, discrete random variables and their distributions--Bernoulli, Binomial, Poisson, and geometric, continuous random variables and their distributions--uniform, exponential, gamma, beta, and normal, transformation of random variables, moment and moment generating functions, multivariate discrete distribution, marginal and conditional distribution and independent variables. Academic Career: Undergraduate Course Component: Lecture Grade Component: LG/SNC Elective Basis Course Requirements: PREQ: MATH 0230 or 0235 or 0240 or 0245
|
|||
All catalogs © 2024 University of Pittsburgh. Powered by the Acalog™ Academic Catalog Management System™ (ACMS™).
|