Second Exam Topic List for STA 4321/5325
How is probability represented for a continuous random variable?
What are the properties of a
density function?
What is the definition of a distribution function? What are the properties of a
distribution function.
How is an expected value found for a function of a continuous random variable? Be able to do this.
What do the mean and variance represent?
What is the mean and variance of a linear function of a
random variable with known mean and variance?
What characterizes a uniform random variable?
Know its density function.
What characterizes 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.
What types of settings are modeled with a Gamma random variable?
Know the density, the mean
and the variance for a Gamma and an exponential random variable and the properties of the gamma
function.
Know the density for a Beta random variable?
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This note was uploaded on 01/15/2012 for the course STA 5325 taught by Professor Staff during the Spring '08 term at University of Florida.
 Spring '08
 Staff
 Probability

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