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Warm-up

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Title: More on Section 6.2 Author: ltrojan Last modified by: Windows User Created Date: 11/30/2005 1:50:33 PM Document presentation format: On-screen Show (4:3) – PowerPoint PPT presentation

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Title: Warm-up


1
Warm-up
  • Define the sample space of each of the following
    situations
  • Choose a student in your class at random. Ask
    how much time that student spent studying during
    the past 24 hours.
  • The Physicians Health Study asked 11,000
    physicians to take an aspirin every other day and
    observed how many of them had a heart attack in a
    five-year period.
  • In a test of new package design, you drop a
    carton of a dozen eggs from a height of 1 foot
    and count the number of broken eggs.

2
Section 5.2
  • Independence and the Multiplication Rule

3
Two Special Rules
  • Weve learned the addition rule for disjoint
    events If A and B are disjoint, then P(A or B)
    P(A) P(B).
  • Now well learn the multiplication rule for
    independent events that if A and B are
    independent, then P(A and B) P(A)?P(B)
  • Remember that two events are independent if
    knowing that one occurs does not change the
    probability that the other occurs.

4
Examples of Independent Events
  • Toss a coin twice. Let A first toss is a head
    and B second toss is a tail. Events A and B
    are independent. Thus, the P(AnB) P(A)P(B).
  • P(Head and Tail) P(Head) P(Tail) ½ ½ ¼
  • Draw 3 cards from a deck, replacing and shuffling
    in between each draw. This is called with
    replacement.

5
Without Replacement
  • If you draw three cards from a deck without
    replacing, the probabilities change on each draw.
    Therefore, drawing without replacement is NOT
    independent.

6
Cautions
  • You must be told or have prior knowledge that an
    event is disjoint or independent.
  • Do not confuse disjoint with independent.
    Disjoint can be displayed in a Venn Diagram.
    Independence can not.
  • The addition rule for disjoint events and the
    multiplication rule for independent events only
    work when the criteria are met. Resist the
    temptation to use them for events that are not
    disjoint or not independent.

7
Sample Questions
  • Suppose that among the 6000 students at a high
    school, 1500 are taking honors courses and 1800
    prefer watching basketball to watching football.
    If taking honors courses and preferring
    basketball are independent, how many students are
    both taking honors courses and prefer basketball
    to football?

8
Sample Questions
  • Suppose that for any given year, the
    probabilities that the stock market declines is
    .4, and the probability that womens hemlines are
    lower is .35. Suppose that the probability that
    both events occur is .3. Are the two events
    independent?

9
Sample Questions
  • In a 1974 Dear Abby letter, a woman lamented
    that she had just given birth to her eighth
    child, and all were girls! Her doctor had
    assured her that the chance of the eighth child
    being a girl was only 1 in 100.
  • A) What was the real probability that the eighth
    child would be a girl?
  • B) Before the birth of the first child, what was
    the probability that the woman would give birth
    to eight girls in a row?

10
Section 6.3General Probability Rules
11
Special Probability Rules
  • If A and B are disjoint, then P(AUB) P(A)
    P(B).
  • This rule relies on a condition to be met.
  • So, what if the events are NOT disjoint?
  • What if there are more than 2 disjoint events?

12
General Probability Rules
  • P(AUB) P(A) P(B) P(AnB)
  • This is how the formula will appear on your
    formula sheet for the exam (and thus my tests).

If A and B are disjoint, then what does P(AnB)
equal?
13
Sample Question Student Survey
  • (making an A in Statistics only) 18 students
    (making an A in
    Calculus only) 63 students
    (making an A in Stats and in Calculus)
    27 students
  • S150 students
  • Draw a Venn diagram.
  • Find the probability of making an A in Stats but
    not in Calc.
  • Find the probability of making an A in Calc but
    not in Stats.
  • Find the probability of not making an A in either
    subject.
  • Find the probability of making an A in either
    Calc or Stats.
  • Are these events independent?

14
Extending the Rules to Three Events
  • If you have three disjoint events, then P(A or B
    or C) P(A) P(B) P(C)
  • If they are not disjoint, then P(A or B or C)
    P(A) P(B) P(C) P(AnB) P(AnC) P(BnC)
  • Often it is easier to draw a Venn Diagram than to
    use the formula.
  • Look at p365 6.51

15
Sample Questions
  • Suppose that the probability that you will
    receive an A in AP Statistics is .35, the
    probability that you will receive As in both AP
    Statistics and AP Biology is .19, and the
    probability that you will receive an A in AP Bio
    but not in Stats is .17. Which is a proper
    conclusion?
  • A) P(A in AP Bio) .36
  • B) P(you didnt take Bio) .01
  • C) P(not making an A in AP Stat or Bio) .38
  • D) The given probabilities are impossible.

16
Sample Questions
  • If P(A) .2 and P(B) .1, what is P(AUB) if A
    and B are independent?
  • A) .02
  • B) .28
  • C) .30
  • D) .32
  • E) There is insufficient information to answer
    this question.

17
Sample Questions
  • Given the probabilities P(A) .4 and P(AUB)
    .6, what is the probability P(B) if A and B are
    mutually exclusive? If A and B are independent?
  • A) .2, .28
  • B) .2, .33
  • C) .33, .2
  • D) .6, .33
  • E) .28, .2

18
Conditional Probability
  • When events are not independent, the probability
    of one changes if we know that the other event
    occurred.
  • I will draw two cards without replacement.
  • Let A 1st card I draw is an Ace
  • Let B 2nd card I draw is an Ace
  • The probability of B occurring changes depending
    on whether A occurred.
  • The new notation P(BA) is read the probability
    of B given A. It asks you to find the
    probability of B knowing that A has occurred.

19
Lets look at education and age
Education Age Age Age Age
Education 25 34 35 54 55 Total
No high school 4,474 9,155 14,224 27,853
Completed HS 11,546 26,481 20,060 58,087
1 to 3 years college 10,700 22,618 11,127 44,445
4 years of college 11,066 23,183 10,596 44,845
Total 37,786 81,435 56,008 175,230
20
Find these probabilities
  • Let A the person chosen is 25 34
  • Let B the person chosen has 4 years of
    college
  • Find P(A).
  • Find P(A and B).
  • Find P(BA).
  • Given that a person has only a HS diploma, what
    is the probability that the person is 55 or
    older?

21
The general rule for multiplication
  • P(AnB) P(A)P(BA)
  • This can be rewritten as
  • P(BA) P(AnB)/P(A)
  • Example Two cards are drawn without
    replacement.
  • Let A 1st card is a spade
  • Let B 2nd card is a spade
  • Find P(BA).
  • Find P(A and B).

22
Next Example
  • Suppose the probability that the dollar falls in
    value compared to the yen is 0.5.
  • Suppose that the probability that if the dollar
    falls in value, a supplier from Japan will
    renegotiate their contract is 0.7.
  • What is the probability that the dollar will fall
    in value and the supplier demands renegotiation?

23
Homework
  • Chapter 5 4, 9, 40, 43, 51, 60, 83, 89, 94
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