# sylspr07 - STA 4321 Introduction to Probability STA 5325...

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STA 5325 – Fundamentals of Probability Spring 2007 Instructor: Dr. Larry Winner e-mail: [email protected] Office: 228 Griffin/Floyd Office Hours: M 2:00-3:30, W 9:50-11:20 TA: Alex Savenkov: Office Hours: M3, W7, F4 @ 218 Griffin/Floyd Textbook: Introduction to Probability and Its Applications, 2 nd Ed , (1995). Richard L. Scheaffer, Duxbury. Prerequisites: MAC 2311-2313 (or equivalent) and one introductory statistics course. Course Description: This course is a calculus based introduction to probability theory. General topics include: Basic Probability (Chapter 2) Randomness (2.1) Set Notation (2.2) Probability (2.3) Counting Rules (2.4) Conditional Probability/Independence (2.5) Probability Rules (2.6) Odds, Odds Ratios/Relative Risk (2.7) Introduction to Simulation (2.8) Discrete Probability Distributions (Chapter 3) Discrete Random Variables/Probability Distributions (3.1) Expected Values (3.2) Families of Discrete Distributions Bernoulli (3.3) Binomial (3.4) Geometric (3.5) Negative Binomial (3.6) Poisson (3.7) Hypergeometric (3.8) Moment-Generating Function (3.9) Probability-Generating Function (3.10)

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## This note was uploaded on 06/04/2011 for the course STA 4321 taught by Professor Staff during the Spring '08 term at University of Florida.

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sylspr07 - STA 4321 Introduction to Probability STA 5325...

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