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Conditional Probability: What

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Title: Chapter 5 Author: Kate Mclaughlin Last modified by: Rice University Created Date: 11/16/2005 12:31:31 AM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: Conditional Probability: What


1
Section 5.3
  • Conditional Probability Whats the Probability
    of A, Given B?

2
Conditional Probability
  • For events A and B, the conditional
  • probability of event A, given that event B has
    occurred is

3
Conditional Probability
4
Example What are the Chances of a Taxpayer
being Audited?
5
Example Probabilities of a Taxpayer Being
Audited
6
Example Probabilities of a Taxpayer Being
Audited
  • What was the probability of being audited, given
    that the income was 100,000?
  • Event A Taxpayer is audited
  • Event B Taxpayers income 100,000

7
Example Probabilities of a Taxpayer Being
Audited
8
Example The Triple Blood Test for Down Syndrome
  • A positive test result states that the condition
    is present
  • A negative test result states that the condition
    is not present

9
Example The Triple Blood Test for Down Syndrome
  • False Positive Test states the condition is
    present, but it is actually absent
  • False Negative Test states the condition is
    absent, but it is actually present

10
Example The Triple Blood Test for Down Syndrome
  • A study of 5282 women aged 35 or over analyzed
    the Triple Blood Test to test its accuracy

11
Example The Triple Blood Test for Down Syndrome
12
Example The Triple Blood Test for Down Syndrome
  • Assuming the sample is representative of the
    population, find the estimated probability of a
    positive test for a randomly chosen pregnant
    woman 35 years or older

13
Example The Triple Blood Test for Down Syndrome
  • P(POS) 1355/5282 0.257

14
Example The Triple Blood Test for Down Syndrome
  • Given that the diagnostic test result is
    positive, find the estimated probability that
    Down syndrome truly is present

15
Example The Triple Blood Test for Down Syndrome
16
Example The Triple Blood Test for Down Syndrome
  • Summary Of the women who tested positive, fewer
    than 4 actually had fetuses with Down syndrome

17
Multiplication Rule for Finding P(A and B)
  • For events A and B, the probability that A and B
    both occur equals
  • P(A and B) P(AB) x P(B)
  • also
  • P(A and B) P(BA) x P(A)

18
Example How Likely is a Double Fault in Tennis?
  • Roger Federer 2004 mens champion in the
    Wimbledon tennis tournament
  • He made 64 of his first serves
  • He faulted on the first serve 36 of the time
  • Given that he made a fault with his first serve,
    he made a fault on his second serve only 6 of
    the time

19
Example How Likely is a Double Fault in Tennis?
  • Assuming these are typical of his serving
    performance, when he serves, what is the
    probability that he makes a double fault?

20
Example How Likely is a Double Fault in Tennis?
  • P(F1) 0.36
  • P(F2F1) 0.06
  • P(F1 and F2) P(F2F1) x P(F1)
  • 0.06 x 0.36 0.02

21
Sampling Without Replacement
  • Once subjects are selected from a population,
    they are not eligible to be selected again

22
Example How Likely Are You to Win the Lotto?
  • In Georgias Lotto, 6 numbers are randomly
    sampled without replacement from the integers 1
    to 49
  • You buy a Lotto ticket. What is the probability
    that it is the winning ticket?

23
Example How Likely Are You to Win the Lotto?
  • P(have all 6 numbers) P(have 1st and 2nd and
    3rd and 4th and 5th and 6th)
  • P(have 1st)xP(have 2ndhave 1st)xP(have 3rd
    have 1st and 2nd) P(have 6thhave 1st, 2nd, 3rd,
    4th, 5th)

24
Example How Likely Are You to Win the Lotto?
  • 6/49 x 5/48 x 4/47 x 3/46 x 2/45 x 1/44
  • 0.00000007

25
Independent Events Defined Using Conditional
Probabilities
  • Two events A and B are independent if the
    probability that one occurs is not affected by
    whether or not the other event occurs

26
Independent Events Defined Using Conditional
Probabilities
  • Events A and B are independent if
  • P(AB) P(A)
  • If this holds, then also P(BA) P(B)
  • Also, P(A and B) P(A) x P(B)

27
Checking for Independence
  • Here are three ways to check whether events A and
    B are independent
  • Is P(AB) P(A)?
  • Is P(BA) P(B)?
  • Is P(A and B) P(A) x P(B)?
  • If any of these is true, the others are also true
    and the events A and B are independent

28
Example How to Check Whether Two Events are
Independent
  • The diagnostic blood test for Down syndrome
  • POS positive result
  • NEG negative result
  • D Down Syndrome
  • DC Unaffected

29
Example How to Check Whether Two Events are
Independent
  • Blood Test

Status POS NEG Total
D 0.009 0.001 0.010
Dc 0.247 0.742 0.990
Total 0.257 0.743 1.000
30
Example How to Check Whether Two Events are
Independent
  • Are the events POS and D independent or
    dependent?
  • Is P(POSD) P(POS)?

31
Example How to Check Whether Two Events are
Independent
  • Is P(POSD) P(POS)?
  • P(POSD) P(POS and D)/P(D)
  • 0.009/0.010 0.90
  • P(POS) 0.256
  • The events POS and D are dependent

32
Section 5.4
  • Applying the Probability Rules

33
Is a Coincidence Truly an Unusual Event?
  • The law of very large numbers states that if
    something has a very large number of
    opportunities to happen, occasionally it will
    happen, even if it seems highly unusual

34
Example Is a Matching Birthday Surprising?
  • What is the probability that at least two
    students in a group of 25 students have the same
    birthday?

35
Example Is a Matching Birthday Surprising?
  • P(at least one match) 1 P(no matches)

36
Example Is a Matching Birthday Surprising?
  • P(no matches) P(students 1 and 2 and 3 and 25
    have different birthdays)

37
Example Is a Matching Birthday Surprising?
  • P(no matches)
  • (365/365) x (364/365) x (363/365) x
  • x (341/365)
  • P(no matches) 0.43

38
Example Is a Matching Birthday Surprising?
  • P(at least one match)
  • 1 P(no matches) 1 0.43 0.57
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