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Lesson 30: Probability

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Announcements. Book report: Due April 28. Exam #3: April 23. Final Exam: Monday, May 12; 1-3p ... are not twins, the probability of the birth of a girl or a boy ... – PowerPoint PPT presentation

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Title: Lesson 30: Probability


1
Lesson 30 Probability
  • Objectives
  • Determine the probability of drawing two red
    balls (without replacement) from an urn with 3
    red balls and 4 green balls
  • Determine the probability of being dealt a royal
    flush
  • Outline
  • Examples of Probability

2
Announcements
  • Book report Due April 28
  • Exam 3 April 23
  • Final Exam Monday, May 12 1-3p

3
Coin Toss
  • You flip a coin thrice. Find the following
  • P(E) where E is the event of getting a heads on
    the first flip and a tails on the second flip and
    a heads or tails on the third flip.
  • P(F) where F is getting one head and two tails in
    the three flips

4
Monty Hall
5
Doorbell
  • A family has 2 children. You ring the doorbell
    of the house and a girl answers the door. What
    is the probability that the other child in the
    family is also a girl? Assume that the children
    are not twins, the probability of the birth of a
    girl or a boy are independent events, and the
    probability of the birth of a child of either sex
    is 1/2.

6
True/False
  • A T/F quiz has 10 questions. If you randomly
    answer each question, what is the probability of
    getting at least 70?

7
Passwd
  • A computer password consists of 5 lowercase
    letters.
  • Find p(E) where E is the event that the passwd
    starts with c
  • Find p(F) where F is the event that the passwd
    contains no vowels.

8
Probability
  • For non-equally likely outcomes
  • 0lt p(s) lt 1 for every s in S
  • The sum of all p(s) in S 1

9
Uniform Distribution
  • A set has n elements. The uniform distribution
    assigns the probability 1/n to each element of S

10
Definition Review
  • Event successful trial
  • Sample Space set of possible outcomes
  • Experiment a trial yielding a result

11
Probability
  • The probability of the event E is the sum of the
    probabilities of the outcomes in E.
  • That is
  • p(E) sump(s)
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