ST 301 Test #2 Review
Experiment: process that leads the occurrence of one and only one of several
possible outcomes
Outcome: a particular result of an experiment
Event: a collection of one or more outcomes
Probability: the likelihood of some occurrence of some outcome or event
P(event)
Ex: Roll of Dice
S: {1,2,3,4,5,6} =sample space
Let A=even roll odd
P(A)= 3/6 = ½ + 50%
Complement:
Ä
or A
c
Everything but “A”
P(A) + P(
Ä
)= ALWAYS 1
Mutually exclusive: occurrence of any one event means that none of the other
events can occur
Collectively exhaustive: one of the events must occur
Intersection: A and B both happen (A
∩
B)
Union: A happens, B happens (A
∪
B)
P(A
∪
B)= P(A) + P(B)  P(A
∩
B)
Conditional probability: probability of Event A occurring given that B has already
occurred
Independence Does not change the occurrence of an event
Dependence occurrence of one event changes probability of other event
occurring
Probability Distribution a listing of all random variables of an experiment and the
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 Fall '07
 Lampros
 Normal Distribution, Probability distribution, Probability theory, probability density function, standard normal distribution, variable Normal distribution

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