Exam II Topic List MGSC 291—Whitcomb
Chapter Five—Discrete Random Variables:
Binomial Probabilities (special case for a discrete random variable)
Given a
r.v. with
n
and
p
, be able to:
recognize when a discrete random variable is binomial and be able to compute:
•
Probabilities for a discrete binomial random variable using binomial tables
•
Expected value (also called the mean) of the binomial random variable
•
Variance and
•
Standard deviation of the binomial random variable
Chapter Six—Continuous Random Variables:
Uniform Distribution
Be able to recognize when a continuous random variable is uniformly distributed.
Given the min and max of a uniform distribution (a and b) be able to:
•
Draw the uniform distribution
•
Compute probabilities
•
Find the expected value (mean),
•
Variance, and
•
Standard deviation
Normal Distribution
Be able to recognize when a continuous random variable is normally distributed.
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 Fall '09
 Rollins
 Normal Distribution, Probability theory, normal random variable

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