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Chapter 7 Sets

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Example: A spinner that is equally divided up into three spaces is spun and a coin is tossed. ... Spinner Coin Toss Possible Outcomes. H (1, H) 1. T (1, T) H (2, ... – PowerPoint PPT presentation

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Title: Chapter 7 Sets


1
Chapter 7 Sets Probability
  • Section 7.3
  • Introduction to Probability

2
Why use probability?
  • A great many problems that come up in the
    applications of mathematics involve random
    phenomena those for which exact prediction is
    impossible.
  • The best we can do is determine the probability
    of the possible outcomes.

3
Sample Spaces
  • In probability, an experiment is an activity or
    occurrence with an observable result.
  • Each repetition of an experiment is called a
    trial.
  • The possible results of each trial are called
    outcomes.
  • The set of all possible outcomes for an
    experiment is the sample space for that
    experiment.

4
  • Example A spinner that is equally divided up
    into three spaces is spun and a coin is tossed.
    Give the sample space for this experiment.
  • Spinner Coin Toss Possible Outcomes

  • H (1, H)
  • 1
  • T (1, T)
  • H (2, H)
  • 2
  • T (2, T)
  • H (3, H)
  • 3

  • T (3, T)
  • S (1,H), (1,T), (2,H), (2,T), (3,H),
    (3,T)

5
Events
  • An event is a subset of a sample space.
  • An event in which only one outcome is possible is
    called a simple event.
  • If the event equals the sample space, then the
    event is called a certain event.
  • If the event is equal to the null, or empty, set,
    then the event is called an impossible event.

6
  • Example Consider rolling a single die.
  • S 1, 2, 3, 4, 5, 6
  • Event A Rolling a 5
  • Event B Rolling an odd number
  • Event C Rolling a number less than 7
  • Event D Rolling a number greater than 6
  • Which event is a simple event?
  • Event A
  • Which event is an impossible event?
  • Event D
  • Which event is a certain event?
  • Event C

7
Set Operations for Events
  • Let E and F be events for a sample space, S.
  • E ? F occurs when both E and F occur
  • E ? F occurs when E or F or both occur
  • E ' occurs when E does not occur.
  • Mutually Exclusive Events
  • Events E and F are mutually exclusive events if
    E ? F Ø

8
Probability
  • For sample spaces with equally likely outcomes,
    the probability of an event is defined as
    follows.
  • Basic Probability Principle
  • Let S be a sample space of equally likely
    outcomes , and let event E be a subset of S.
    Then the probability that event E occurs is
  • For any event E, 0 P(E) 1.

9
  • Example A marble is drawn from a bowl
    containing 3 yellow, 4 white, and 8 blue marbles.
    Find the probability of the following events.
  • 1.) A yellow marble is drawn
  • P (yellow) 3 / 15 1 / 5
  • 2.) A blue marble is drawn
  • P (blue) 8 / 15
  • 3.) A white marble is not drawn
  • P (not white) 11 / 15
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