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12. Large-Sample Inference  565

                           were started on this diet. After two weeks, the weight reduction for each
                           individual was recorded which gave the sample average 5.78 pounds and
                           standard deviation 1.12 pounds. Test a null hypothesis H  : µ = 5 versus an
                                                                           0
                           alternative hypothesis H  : µ > 5 at an approximate 5% level.
                                               1
                              12.3.5 A receptionist in a medical clinic thought that a patient’s average
                           (µ) waiting time to see one of the doctors exceeded twenty minutes. A ran-
                           dom sample of sixty patients visiting the clinic during a week gave the average
                           waiting time   = 28.65 minutes and standard deviation s = 2.23 minutes. Can
                           the receptionist’s feeling regarding the average waiting time be validated at an
                           approximate 5% level?
                              12.3.6 (Exercise 12.3.5 Continued) Obtain an approximate 95% confi-
                           dence interval for the average (µ) waiting time for patients visiting the clinic.
                              12.3.7 A large tire manufacturing company has two factories A and B. It is
                           believed that the employees in Factory A are paid less monthly salaries on the
                           average than the employees in Factory B even though these employees had
                           nearly similar jobs and job-related performances. The local union of employ-
                           ees in Factory. A randomly sampled 35 employees from each factory and
                           recorded each individual’s monthly gross salary. The summary data follows:
                                             Factory A           Factory B
                                              n  = 35             n  = 35
                                               1
                                                                   2
                                              = $2854.72          = $3168.27
                                           1n 1                2n 2
                                           s  = $105.29        s  = $53.55
                                            1n1                 2n2
                           At an approximate 5% level, test whether the data validates the belief that
                           employees in Factory A are paid less on the average than employees in Fac-
                           tory B.
                              12.3.8 Suppose that X , ..,X  are iid Bernoulli(p) random variables where 0
                                                1
                                                    n
                           < p < 1 is the unknown parameter. The minimal sufficient estimator of p is the
                           sample proportion     of successes in n independent replications. One ob-
                           serves that                   is asymptotically standard normal. Hence,
                           for large n, we have





                           Now, solve the quadratic equation in p to derive an alternative (to that given in
                           (12.3.18)) approximate 100(1 − α)% confidence interval for p.
                              12.3.9 A critic of the insurance industry claimed that less than 30% of
                           the women in the work-force in a city carried employer-provided health
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