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                                                                              2-4 CONDITIONAL PROBABILITY  41


                                   Sometimes a partition of the question into successive picks is an easier method to solve the
                                   problem.


                 EXAMPLE 2-18      A day’s production of 850 manufactured parts contains 50 parts that do not meet customer
                                   requirements. Two parts are selected randomly without replacement from the batch. What is
                                   the probability that the second part is defective given that the first part is defective?
                                       Let A denote the event that the first part selected is defective, and let B denote the event
                                   that the second part selected is defective. The probability needed can be expressed as
                                   P1B ƒ A2.  If the first part is defective, prior to selecting the second part, the batch contains 849
                                   parts, of which 49 are defective, therefore

                                                                 P1B ƒ A2   49
849


                 EXAMPLE 2-19      Continuing the previous example, if three parts are selected at random, what is the probability
                                   that the first two are defective and the third is not defective? This event can be described in
                                   shorthand notation as simply P(ddn). We have

                                                                   50   49  800
                                                         P1ddn2                   0.0032
                                                                  850  849  848

                                   The third term is obtained as follows. After the first two parts are selected, there are 848
                                   remaining. Of the remaining parts, 800 are not defective. In this example, it is easy to obtain
                                   the solution with a conditional probability for each selection.

                 EXERCISES FOR SECTION 2-4

                 2-57.  Disks of polycarbonate plastic from a supplier are an-  Let A denote the event that a sample has excellent surface fin-
                 alyzed for scratch and shock resistance. The results from 100  ish, and let  B denote the event that a sample has excellent
                 disks are summarized as follows:                length. Determine:
                                                                 (a) P1A2   (b) P1B2
                                              shock resistance
                                                                 (c) P1A ƒ B2  (d) P1B ƒ A2
                                             high       low      (e) If the selected part has excellent surface finish, what is the
                    scratch       high        70         9          probability that the length is excellent?
                    resistance    low         16         5       (f) If the selected part has good length, what is the probability
                                                                    that the surface finish is excellent?
                 Let A denote the event that a disk has high shock resistance,  2-59.  The analysis of shafts for a compressor is summarized
                 and let B denote the event that a disk has high scratch resist-  by conformance to specifications:
                 ance. Determine the following probabilities:
                 (a) P(A)   (b) P(B)                                                        roundness conforms
                 (c) P1A ƒ B2  (d) P1B ƒ A2                                                    yes       no
                 2-58.  Samples of a cast aluminum part are classified  surface finish  yes     345        5
                 on the basis of surface  finish (in microinches) and length
                                                                    conforms         no         12        8
                 measurements. The results of 100 parts are summarized as
                 follows:                                        (a) If we know that a shaft conforms to roundness require-
                                                                    ments, what is the probability that it conforms to surface
                                                 length
                                                                    finish requirements?
                                           excellent    good     (b) If we know that a shaft does not conform to roundness
                    surface    excellent      80         2          requirements, what is the probability that it conforms to
                    finish       good          10         8          surface finish requirements?
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