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38   Chapter 2/Probability

                         Mutually
                         Exclusive    A collection of events, E ,E , … ,E , is said to be mutually exclusive if for all pairs,
                           Events                         1  2    k
                                                                   E i ∩ E j = ∅
                                      For a collection of mutually exclusive events,
                                                    (
                                                                      P E 1) + ( ) +… ( )
                                                   P E 1 ∪ E 2 ∪…∪ ) = (     P E 2    P E k          (2-8)
                                                                 E k

               Example 2-21    pH  Here is a simple example of mutually exclusive events, which will be used quite frequently.
                               Let X denote the pH of a sample. Consider the event that X is greater than 6.5 but less than or equal
               to 7.8. This probability is the sum of any collection of mutually exclusive events with union equal to the same range
               for X. One example is
                                                                  . (
                                   . (
                                           .
                                                           .
                                                P 6 5 ≤
                                P 6 5 <  X ≤ 7 8) = (  .  X ≤ 7 0) +  P 7 0 <  X ≤ 7 5) + (  .  X ≤ .
                                                                              P 7 5 <
                                                                          .
                                                                                         7 8)
               Another example is
                                                  6 6) + (
                            . (
                                                                  7 1)
                                                                                 7 4) + (
                        P 6 5 <  X ≤ 7 8) = (  X ≤ .   P 6 6 . <  X ≤ . + (  X ≤ .    P 7 4 . <  X ≤ . ) 8
                                        P 6 5 . <
                                                                       P 7 1 . <
                                    .
                                                                                               ≤ 7
               The best choice depends on the particular probabilities available.
                 Practical Interpretation: The partition of an event into mutually exclusive subsets is widely used in later chapters to
               calculate probabilities.
               Exercises            FOR SECTION 2-3
                  Problem available in WileyPLUS at instructor’s discretion.
                           Tutoring problem available in WileyPLUS at instructor’s discretion
               2-82.   If P A( ) = .0 3, P B( ) = .0 2  and P A( ∩  B) = .1 , deter-  (b) What is the probability that a knee injury resulted from an
                                        ,
                                                     0
               mine the following probabilities:                   activity other than a sport?
               (a)  P A( )′     (b)  P A( ∪  B)  (c) P A( ′ ′  B)  2-85.     Disks of polycarbonate plastic from a supplier are
                        ′
                                       ′
               (d)  P A( ∩  B )  (e) P A[( ∪  B) ]  (f) P A( ′  B)  analyzed for scratch and shock resistance. The results from 100
                                                                disks are summarized as follows:
               2-83.   If A, B, and C are mutually exclusive events with
                (
               P A) = .2 , P B( ) = .0 3 , and P C( ) = .0 4 , determine the follow-          Shock Resistance
                    0
               ing probabilities:                                                            High       Low
               (a)  P A( ∪  B ∪ C)  (b) P A( ∩  B ∩ C)           Scratch        High          70          9
               (c)  P A( ∩  B)      (d) P A[( ∪  B) ∩ C]         Resistance     Low           16          5
                            ′
               (e)  P A( ′ ∩  B′ ∩ C )                          (a)  If a disk is selected at random, what is the probability that its
               2-84.   In the article “ACL Reconstruction Using Bone-  scratch resistance is high and its shock resistance is high?
               Patellar Tendon-Bone Press-Fit Fixation: 10-Year Clinical  (b)  If a disk is selected at random, what is the probability that its
               Results” in Knee Surgery, Sports Traumatology, Arthroscopy  scratch resistance is high or its shock resistance is high?
               (2005, Vol. 13, pp. 248–255), the following causes for knee  (c)  Consider the event that a disk has high scratch resistance and
               injuries were considered:                           the event that a disk has high shock resistance. Are these two
                                                                   events mutually exclusive?
                                           Percentage of
                Activity                   Knee Injuries        2-86.   Strands of copper wire from a manufacturer are
                                                                analyzed for strength and conductivity. The results from 100
                Contact sport                  46%
                                                                strands are as follows:
                Noncontact sport               44%
                Activity of daily living       9%                                          Strength
                Riding motorcycle              1%                                     High          Low
               (a)  What is the probability that a knee injury resulted from a   High conductivity  74  8
                  sport (contact or noncontact)?                 Low conductivity      15             3
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