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               58     CHAPTER 2 PROBABILITY





                                            MIND-EXPANDING EXERCISES

                    2-123.  The alignment between the magnetic tape and  How many kits should be produced each week to maxi-
                    head in a magnetic tape storage system affects the per-  mize the mean earnings of the firm?
                    formance of the system. Suppose that 10% of the read  2-126.  Assume the following characteristics of the
                    operations are degraded by skewed alignments, 5% by  inspection process in Exercise 2-107. If an operator
                    off-center alignments, 1% by both skewness and off-  checks a bolt, the probability that an incorrectly
                    center, and the remaining read operations are properly  torqued bolt is identified is 0.95. If a checked bolt is
                    aligned. The probability of a read error is 0.01 from a  correctly torqued, the operator’s conclusion is always
                    skewed alignment, 0.02 from an off-center alignment,  correct. What is the probability that at least one bolt in
                    0.06 from both conditions, and 0.001 from a proper  the sample of four is identified as being incorrectly
                    alignment. What is the probability of a read error.  torqued?
                    2-124.  Suppose that a lot of washers is large enough  2-127.  If the events A and B are independent, show
                    that it can be assumed that the sampling is done with re-  that A¿  and B¿  are independent.
                    placement. Assume that 60% of the washers exceed the  2-128.  Suppose that a table of part counts is generalized
                    target thickness.                         as follows:
                    (a) What is the minimum number of washers that need
                                                                                            conforms
                       to be selected so that the probability that all the
                       washers are thinner than the target is less than 0.10?            yes         no
                    (b) What is the minimum number of washers that need to  supplier  1   ka         kb
                       be selected so that the probability that one or more    2          a          b
                       washers are thicker than the target is at least 0.90?  where a, b, and k are positive integers. Let A denote the
                    2-125. A biotechnology manufacturing firm can pro-  event that a part is from supplier 1 and let B denote the
                    duce diagnostic test kits at a cost of $20. Each kit for  event that a part conforms to specifications. Show that
                    which there is a demand in the week of production can be  A and B are independent events.
                    sold for $100. However, the half-life of components in  This exercise illustrates the result that whenever the
                    the kit requires the kit to be scrapped if it is not sold in  rows of a table (with r rows and c columns) are propor-
                    the week of production. The cost of scrapping the kit is  tional, an event defined by a row category and an event
                    $5. The weekly demand is summarized as follows:  defined by a column category are independent.
                                  weekly demand
                    Number of
                     units           0     50    100    200
                    Probability of
                     demand        0.05   0.4     0.3   0.25





               IMPORTANT TERMS AND CONCEPTS
               In the E-book, click on any  Event              Random variables        CD MATERIAL
                 term or concept below to  Independence          discrete and
                                                                                       Permutation
                 go to that subject.   Multiplication rule       continuous
                                                                                       Combination
               Addition rule           Mutually exclusive      Sample spaces—discrete
               Axioms of probability     events                  and continuous
               Bayes’ theorem          Outcome                 Total probability rule
               Conditional probability  Random experiment      With or without
               Equally likely outcomes                           replacement
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