Final Exam Topic List for STA 4321/5325
Know the Complement Law, the Additive Law and the Multiplicative Law of
Probability?
What is the definition of a conditional probability?
What do we mean by independent events? What
is the difference between mutually exclusive and independent events? What is the multiplicative law
under independence?
Know the probability function, mean and variance of
the Binomial and Poisson distributions.
Know
the nature of the geometric and hypergeometric distributions.
What is the definition of a distribution function? What are the properties of a distribution function.
What are the fundamental characteristics of a normal random variable?
How can we use a
standard normal table to evaluate probabilities for any normal distribution?
Be able to perform
these evaluations.
Know the density for a gamma and an exponential random variable and the properties of the gamma
function.
Know the density of a beta random variable?
Know the moment generating functions for binomial,
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This note was uploaded on 07/08/2011 for the course STA 4321 taught by Professor Staff during the Summer '08 term at University of Florida.
 Summer '08
 Staff
 Conditional Probability, Probability

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