MATH 1153 - INTRO PROBLTY & STATISTICS 1

Minimum Credits: 3
Maximum Credits: 3
This course presents the basic probability concepts required for statistical inference at both theoretical and applied levels. Topics include set theory and basic probability; independence and Bayes' theorem, discrete random variables and their distributions--Bernoulli, binomial, poison, and geometric, continuous random variables and their distributions--uniform, exponential, gamma, beta, and normal, transformation of random variables, moments and moment generating functions, multivariate discrete DIST, marginal and conditional DIST and independent variables.
Academic Career: UGRD
Course Component: Lecture
Grade Component: LG/SU3 Elective Basis
Course Requirements: PREQ: MATH 0241 or 0240

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