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                                                                          9-7 TESTING FOR GOODNESS OF FIT  319


                                       3.  H : The form of the distribution is nonnormal.
                                            1
                                       4.  	  0.05
                                       5.  The test statistic is


                                                                       k  1o 
 E 2 2
                                                                  2
                                                                   0    a  i   i
                                                                      i 1   E i
                                       6.  Since two parameters in the normal distribution have been estimated, the chi-square
                                          statistic above will have  k 
 p 
 1    8 
 2 
 1    5 degrees of freedom.
                                                                    2
                                                                 if       2    11.07.
                                          Therefore, we will reject H 0  0  0.05,5
                                       7.  Computations:

                                                       8  1o 
 E 2 2
                                                  2
                                                        a  i   i
                                                  0         E
                                                      i 1    i
                                                                2            2                 2
                                                      112 
 12.52  114 
 12.52        114 
 12.52
                                                                                 p
                                                         12.5          12.5              12.5
                                                      0.64
                                                           2
                                       8.  Conclusions: Since     0.64    2 0.05,5    11.07, we are unable to reject H 0 , and there
                                                           0
                                          is no strong evidence to indicate that output voltage is not normally distributed. The
                                                                       2
                                          P-value for the chi-square statistic     0.64 is P   0.9861.
                                                                       0
                 EXERCISES FOR SECTION 9-7

                 9-59.  Consider the following frequency table of observa-  defined as the number of calls during that one-hour period.
                 tions on the random variable X.                 The relative frequency of calls was recorded and reported as

                 Values              0     1     2     3    4    Value      5      6      8      9       10
                 Observed Frequency  24   30    31    11    4    Relative
                                                                 Frequency  0.067  0.067  0.100  0.133    0.200
                 (a) Based on these 100 observations, is a Poisson distribution
                                                                 Value     11      12     13     14      15
                    with a mean of 1.2 an appropriate model? Perform a good-
                                                                 Relative
                    ness-of-fit procedure with 	  0.05.
                                                                 Frequency  0.133  0.133   0.067  0.033   0.067
                 (b) Calculate the P-value for this test.
                 9-60.  Let  X denote the number of flaws observed on a  (a) Does the assumption of a Poisson distribution seem appro-
                 large coil of galvanized steel. Seventy-five coils are in-  priate as a probability model for this data? Use 	  0.05.
                 spected and the following data were observed for the values  (b) Calculate the P-value for this test.
                 of X:                                           9-62.  Consider the following frequency table of observa-
                                                                 tions on the random variable X:
                 Values     1    2   3    4    5    6    7   8
                 Observed                                        Values       0     1      2     3     4
                 Frequency  1   11   8   13   11   12   10   9   Frequency    4    21     10    13     2
                 (a) Does the assumption of the Poisson distribution seem ap-
                                                                 (a) Based on these 50 observations, is a binomial distribution
                    propriate as a probability model for this data? Use 	   0.01.
                                                                    with n   6 and p   0.25 an appropriate model? Perform
                 (b) Calculate the P-value for this test.
                                                                    a goodness-of-fit procedure with 	  0.05.
                 9-61.  The number of calls arriving at a switchboard  (b) Calculate the P-value for this test.
                 from noon to 1 PM during the business days Monday through
                 Friday is monitored for six weeks (i.e., 30 days). Let  X be
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