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ISDS 2000 – TEST 2 STUDY GUIDE
Chapter 5:
1.
Know the definition of random variable and be able to determine
whether a random variable is discrete or continuous.
 Random Variable – a variable whose values correspond to the outcome
of an experiment
 Discrete – a random variable that can only take on a finite number of
values (ex. if you toss a coin 6 times, you can get 2 heads or 3 heads but
not 2 1/2 heads.)
 Continuous – a random variable that can take on any value in a certain
range (ex. As if measuring)
2.
Understand the definition of probability distribution and probability
function.
 Probability distribution – describes how probabilities are distributed for
each value of a random variable (basically a relative frequency table)
 Probability function – f(x) see #4 for conditions
3.
Be able to recognize the graph of a discrete probability distribution.
4.
Know that:
a.
f(x) ≥ 0 for all values of x
b.
∑f(x) = 1

IN ENGLISH!!!! 
Each of the discrete values has a certain probability of
occurrence that is between zero and one. That is, a discrete function that allows
negative values or values greater than one is not a probability function. The
condition that the probabilities sum to one means that at least one of the values
has to occur.
5.
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This note was uploaded on 04/15/2008 for the course ISDS 2000 taught by Professor Nunnery during the Spring '08 term at LSU.
 Spring '08
 Nunnery

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