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4.2 SOME PROBABILITY RULES –
COMPOUND EVENTS
   PART 2: ADDITION RULES

        Chapter 4: Elementary Probability Theory
Page
                                                           147
    Multiplication VS Addition
   Multiplication            Addition Rules are
    Rules are used to          used to find the
    find the probability       probability of one
    of two events              event or another
                                                  Notice the
    happening                  occurring.         condition A or B
    together.                                        is satisfied by
                                                     any of the
                                                     following:
                                                     1. Any outcome
                                                         in A occurs
                                                     2. Any outcome
                                                         in B occurs
    The Event A and B             The Event A or B   3. Any outcome
      Figure 4-4(a)                Figure 4-4 (b)        in both A and
                                                         B occurs
Page
Example – Combining Events                        148



   Indicate how each of the following pairs of
    events are combined. Use either the and
    combination or the or combination.
    a)   Satisfying the humanities requirement by taking
         a course in the history of Japan or by taking a
         course in classical literature.
    b)   Buying new tires and aligning the tires.
    c)   Getting an A not only in psychology but also in
         biology.
    d)   Having at least one of these pets:
         cat, dog, bird, rabbit.
Be Careful!        Page
                                  Do Not confuse      149
Addition Rules                 “independence” with
                               “mutually exclusive”


   Two events are mutually exclusive or
    disjoint if they cannot occur together. In
    particular, events A and B are mutually
    exclusive if P(A and B) = 0.
   Addition Rule for Mutually Exclusive
    EventsThe addition rule for mutually exclusive
        P(Aevents can be expandedP(B) adding!
            or B) exclusive events… keep than two
            mutually
                     = P(A) + for more
            (page 151)




   General Addition Rule for ANY Events
Page
                                                     150
How to Use the Addition Rules
1.   Determine whether A and B are mutually
     exclusive events.
        If P(A and B) = 0, then the events are mutually
     exclusive
2.   If A and B are mutually exclusive events
         P(A or B) = P(A) + P(B)
3.   If A and B are not mutually exclusive events
         P(A or B) = P(A) + P(B) – P(A and B)
Page
Example 6 – Probability of Events                              148
Combined with OR
   Consider an introductory statistics class with
    31 students. The students range from
    freshmen through seniors. Some students are
    male and some are female. Figure 4-5 shows
    the sample space.        a) Suppose we select one
                                           student at random from the
                                           class. Find the probability
                                           that the student is either a
                                           freshman or a sophomore.
                                        b) Select one student at
                                           random from the class.
                                           What is the probability that
                                           the student is either a male
    Sample Space for Statistics Class
                                           or a sophomore?
               Figure 4-5
Page
Example 7 – Mutually Exclusive              151
Events
   Laura is playing Monopoly. On her next move
    she needs to throw a sum bigger than 8 on the
    two dice in order to land on her own property
    and pass Go. What is the probability that
    Laura will roll a sum bigger than 8?
Solution – Mutually Exclusive
 Events
                           When two dice are thrown, the
                           largest sum that can come up is
                           12. Consequently, the only sums
                           larger than 8 are 9, 10, 11, and
                           12. These outcomes are mutually
                           exclusive, since only one of
                           these sums can possibly occur
                           on one throw of the dice.
P(9 or 10 or 11 or 12) = P(9) + P(10) + P(11) + P(12)
Page
    Summary of Basic Probability              154
    Rules
   Use this chart!!
   Also See Table 4-3 “English Phrases and
    Corresponding Symbolic Translations”
Assignment

   Page 155
   #1, 3, 4, 7, 11, 13, 17, 23, 27f

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4.2 addtion rules

  • 1. 4.2 SOME PROBABILITY RULES – COMPOUND EVENTS PART 2: ADDITION RULES Chapter 4: Elementary Probability Theory
  • 2. Page 147 Multiplication VS Addition  Multiplication  Addition Rules are Rules are used to used to find the find the probability probability of one of two events event or another Notice the happening occurring. condition A or B together. is satisfied by any of the following: 1. Any outcome in A occurs 2. Any outcome in B occurs The Event A and B The Event A or B 3. Any outcome Figure 4-4(a) Figure 4-4 (b) in both A and B occurs
  • 3. Page Example – Combining Events 148  Indicate how each of the following pairs of events are combined. Use either the and combination or the or combination. a) Satisfying the humanities requirement by taking a course in the history of Japan or by taking a course in classical literature. b) Buying new tires and aligning the tires. c) Getting an A not only in psychology but also in biology. d) Having at least one of these pets: cat, dog, bird, rabbit.
  • 4. Be Careful! Page Do Not confuse 149 Addition Rules “independence” with “mutually exclusive”  Two events are mutually exclusive or disjoint if they cannot occur together. In particular, events A and B are mutually exclusive if P(A and B) = 0.  Addition Rule for Mutually Exclusive EventsThe addition rule for mutually exclusive P(Aevents can be expandedP(B) adding! or B) exclusive events… keep than two mutually = P(A) + for more (page 151)  General Addition Rule for ANY Events
  • 5. Page 150 How to Use the Addition Rules 1. Determine whether A and B are mutually exclusive events. If P(A and B) = 0, then the events are mutually exclusive 2. If A and B are mutually exclusive events P(A or B) = P(A) + P(B) 3. If A and B are not mutually exclusive events P(A or B) = P(A) + P(B) – P(A and B)
  • 6. Page Example 6 – Probability of Events 148 Combined with OR  Consider an introductory statistics class with 31 students. The students range from freshmen through seniors. Some students are male and some are female. Figure 4-5 shows the sample space. a) Suppose we select one student at random from the class. Find the probability that the student is either a freshman or a sophomore. b) Select one student at random from the class. What is the probability that the student is either a male Sample Space for Statistics Class or a sophomore? Figure 4-5
  • 7. Page Example 7 – Mutually Exclusive 151 Events  Laura is playing Monopoly. On her next move she needs to throw a sum bigger than 8 on the two dice in order to land on her own property and pass Go. What is the probability that Laura will roll a sum bigger than 8?
  • 8. Solution – Mutually Exclusive Events When two dice are thrown, the largest sum that can come up is 12. Consequently, the only sums larger than 8 are 9, 10, 11, and 12. These outcomes are mutually exclusive, since only one of these sums can possibly occur on one throw of the dice. P(9 or 10 or 11 or 12) = P(9) + P(10) + P(11) + P(12)
  • 9. Page Summary of Basic Probability 154 Rules  Use this chart!!  Also See Table 4-3 “English Phrases and Corresponding Symbolic Translations”
  • 10. Assignment  Page 155  #1, 3, 4, 7, 11, 13, 17, 23, 27f