Probability - PowerPoint PPT Presentation

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Probability

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an event that can't be broken down. Sample Space ... If you plan to have 3 kids, what's the probability of exactly 1 girl? ... P(1 girl) = Some probabilities ... – PowerPoint PPT presentation

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Title: Probability


1
Probability
  • Event
  • a result or outcome of a procedure
  • Simple Event
  • an event that cant be broken down
  • Sample Space
  • the set of all possible simple events

2
Example you plan to have 3 kids
  • Event
  • 2 are girls
  • Simple Event
  • 1st is boy, 2nd and 3rd are girls (BGG)
  • Sample Space
  • BBB,BBG,BGB,GBB,BGG,GBG,GGB,GGG

3
Three approaches to probabilty
  • Relative Frequency Approximation (Rule 1)
  • Determine probability based on observed outcomes
  • number of times A occurred
  • P(A) number of trials

4
Three approaches to probabilty
  • Classical Approach (Rule 2)
  • When all possible simple events have equal
    likelihood,
  • number of ways A can occur
  • P(A) number of different simple events

5
Three approaches to probabilty
  • Subjective Probabilities (Rule 3)
  • Making an educated guess

6
Some probabilities
  • Out of 300 people sampled, 165 said they
    preferred dogs over cats.
  • What is the probability that a person chosen at
    random prefers dogs over cats?
  • P(prefers dogs)

7
Some probabilities
  • Out of a group sampled, 165 said they preferred
    dogs, 120 said they preferred cats, and 15 liked
    both equally.
  • What is the probability that a person chosen at
    random prefers dogs?
  • P(prefers dogs)

8
Some probabilities
  • If you plan to have 3 kids, whats the
    probability of exactly 1 girl?
  • Sample space BBB,BBG,BGB,GBB,BGG,GBG,GGB,GGG
  • P(1 girl)

9
Some probabilities
  • Whats the probability that youll trip and fall
    on your way back to your car?

10
Law of Large Numbers
  • The relative frequency probability tends to
    approach the actual probability the more times
    the procedure is repeated
  • In other words, the more observations we have to
    work from, the more accurate our probability will
    be.

11
Fundamental facts
  • The probability of an impossible event is 0
  • The probability of a event that definitely will
    occur is 1
  • All probability values are between 0 and 1.

12
Complement
  • The complement of an event A (denoted ) is
    the set of all events in which A does not occur.
  • Example
  • A get heads on coin flip
  • get tails on coin flip

13
Homework
  • 3.2
  • 4, 5, 7, 9, 15, 19
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