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Probability and the Normal Distribution

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Title: Probability and the Normal Distribution


1
Probability and the Normal Distribution
  • Module 11

2
The Normal Distribution
  • The following are useful tools for working with
    the Normal Distribution
  • Suppose X N (m, s2),
  • Given a value z, find the corresponding x that it
    came from.
  • How many standard deviations is x from m?
  • Find Pr (X gt x).
  • Find Pr (X lt x1 or X gt x2).
  • Find Pr ( x1 lt X lt x2).
  • Find the x such that Pr ( X lt x ) a, where a
    is some probability.

3
The Normal Distribution
  • Find the x such that Pr ( X gt x ) a, where a
    is some probability.
  • Find z such that Pr (-z lt Z lt z) 1 - a,
    where a is some probability.

4
The Normal Distribution
  • Given a value z, find the corresponding x that it
    came from.
  • Suppose that height of a students desk is
    normally distributed with mean 2.5 feet and
    standard deviation 6 inches.
  • If z 1.45, what is the corresponding desk
    height?

5
The Normal Distribution
X N (2.5, 0.52).
If z 1.45, what is the corresponding desk
height?
6
The Normal Distribution
  • How many standard deviations is x from m?
  • Suppose X N (-2, 22) and x -4.5

7
The Normal Distribution
  • How many standard deviations is x from m?
  • Suppose X N (1, 102) and x -4.5

8
The Normal Distribution
  • Find Pr (X gt x).
  • Suppose the scores of an exam are distributed
    Normally with mean 80 and standard deviation 10.
    What is the probability that a student gets
    higher than 95?

9
The Normal Distribution
  • Find Pr (X gt x).
  • Suppose the speed at which paint dries is
    distributed Normally with mean 1.5 hours and
    standard deviation 15 minutes. What is the
    probability that mine takes more than 1 hour to
    dry?

10
The Normal Distribution
  • Find Pr(X lt x1 or X gt x2)
  • Suppose the scores of an exam are distributed
    normally with mean 80 and standard deviation 10.
    What is the probability that a student gets lower
    than 70 or higher than 92?

11
The Normal Distribution
  • Find Pr(X lt x1 or X gt x2)
  • Suppose the average number of pages in a college
    text is distributed normally with mean 550 and
    variance 100. What is the probability that my
    textbook contains more than 1000 or less than 800
    pages?

12
The Normal Distribution
  • Find Pr ( x1 lt X lt x2).
  • Suppose the scores of an exam are distributed
    normally with mean 80 and standard deviation 10.
    What is the probability that a student gets
    between 84 and 94?

13
The Normal Distribution
  • Find Pr ( x1 lt X lt x2).
  • Suppose the amount of time spent in a car each
    day is distributed normally with mean 48 minutes
    and standard deviation 20 minutes. What is the
    probability that someone spends between 7 and 48
    minutes on a given day?

14
The Normal Distribution
  • Find the x such that Pr ( X lt x ) a, where a
    is some probability.
  • Suppose the scores of an exam are distributed
    normally with mean 80 and standard deviation 10.
    Find the score such that 75 of the scores are
    lower.

15
The Normal Distribution
  • Find the x such that Pr ( X lt x ) a, where a
    is some probability.
  • Suppose the number of hamburgers eaten during the
    year by a person is distributed normally with
    mean 34 and variance 49. Find the number of
    hamburgers eaten such that 38 of the numbers are
    lower.

16
The Normal Distribution
  • Find the x such that Pr ( X gt x ) a, where a
    is some probability.
  • Suppose the scores of an exam are distributed
    normally with mean 80 and standard deviation 10.
    Find the score such that 10 of the scores are
    higher.

17
The Normal Distribution
  • Find the x such that Pr ( X gt x ) a, where a
    is some probability.
  • Suppose the number of illnesses during ones
    lifetime is distributed normally with mean 34 and
    standard deviation 12. Find the number of
    illnesses such that 14 of the numbers are
    higher.

18
The Normal Distribution
  • Find z such that Pr (-z lt Z lt z) 1 - a,
    where a is some probability.
  • Find z for a 0.40
  • Find z for a 0.99
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