Transcript Ch4-Sec4.1

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Section 4.1
Classical Probability
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Probability, Randomness, and Uncertainty
math courseware specialists
4.1 Classical Probability
Definitions:
• Probability experiment – any process in
which the result is random in nature.
• Outcome – each individual result that is
possible for a given experiment.
• Sample space – the set of all possible
outcomes for a given experiment.
• Event – a subset of the sample space.
HAWKES LEARNING SYSTEMS
Probability, Randomness, and Uncertainty
math courseware specialists
4.1 Classical Probability
Sample space and events:
Consider an experiment in which a coin is tossed
and then a 6-sided die is rolled.
a. List the sample space for the experiment.
b. List the outcomes in the event “tossing a tail then rolling
an odd number”.
Solution:
a. Each outcome consists of a coin toss and a die roll.
b. Choosing the members of the sample space which
fit the event “tossing a tail then rolling an odd
number” gives:
{T1, T3, T5}
HAWKES LEARNING SYSTEMS
Probability, Randomness, and Uncertainty
math courseware specialists
4.1 Classical Probability
Three methods for calculating the probability:
1. Subjective – an educated guess regarding
the chance that an event will occur.
2. Empirical – if all outcomes are based on
experiment.
3. Classical – if all outcomes are equally likely.
HAWKES LEARNING SYSTEMS
Probability, Randomness, and Uncertainty
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4.1 Classical Probability
Rounding probabilities:
1. Give the exact fraction.
2. Round to three decimal places.
3. If the probability is extremely small, it is
permissible to round the decimal to the first
nonzero digit.
HAWKES LEARNING SYSTEMS
Probability, Randomness, and Uncertainty
math courseware specialists
4.1 Classical Probability
Determine whether each of the following probabilities is
subjective, empirical, or classical:
a. The probability of selecting the queen of spades out of
a standard deck of cards.
Classical
b. An economist predicts a 20% chance that technology
stocks will decrease in value over the next year.
Subjective
c. A police officer wishes to know the probability that a
driver, chosen at random, will be driving under the
influence of alcohol on a Friday night. At a roadblock,
he records the number of drivers and the number of
drivers driving with more than the legal blood alcohol
limit. He determines that the probability is 3%.
Empirical
HAWKES LEARNING SYSTEMS
Probability, Randomness, and Uncertainty
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4.1 Classical Probability
Calculate the probability:
A large jar contains more marbles than you are willing
to count. Instead, you draw some coins at random,
replacing each coin before the next draw. You record
the picks in the following table:
Red
Blue
Green
Yellow
Purple
15
29
25
31
10
a. What is the probability that on your next draw you
will obtain a blue marble?
b. What is the probability that on your next draw you
will obtain a yellow marble?