MATH 273 Chapter Notes - Chapter 12-13: Mutual Exclusivity, Empirical Probability

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Chapter 12
Theoretical probability: straight forward, if you roll a die once, what is the probability that you
will get 1 = P (1) = 1/6. Sometimes called mathematical or classical. P(A) = number of times A
occurs/ total number of trials
Empirical probability: calculate with histograms and everything. More complex. P(A) = # of
outcomes in A/ # of equally likely possible outcomes.
The law of large numbers: the long-run relative frequency of repeated independent events gets
closer and closer to a single value. Says nothing about short-term behavior.
Rules of probability:
Rule 1: probability can only be between 0 and 1. And the probability percentage cannot be
egatie. % does’t ake sese either. Proailities are ritte i deials .45 is 45%
Rule 2: the set of all possible outcomes should be 1 (100%). One means it always occurs. Zero
probability means it cannot occur.
Rule 3 (Complement Rule): The probability of an event occurring is 1 minus the probability that
it does’t our:
P(A) = 1 P(AC)
Complement rule Example: Ex. 1: At the traffic light on the corner of York Road and Bosley Avenue the
northbound light is green about 35% of the time.
What is the probability that the light is not green when you get to the intersection?
P (not green) = = 1 - .35 = 0.65
Copleetary eets ea that the outoe of oe eet does’t affet the outoe of the
other event.
Disjoint means that the probability of two events occurring at the same time is zero.
*All complementary events are disjoint, but all mutually exclusive events are not necessarily
complementary. *
Additio rule uses or or uio sig U. “peial ases for disjoit eets.
Multipliatio rule uses ad or . Special independent events.
Formula:
P (A or B) = P(A) + P(B) P (A and B)
Special addition rule for disjoint events:
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