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               314     CHAPTER 9 TESTS OF HYPOTHESES FOR A SINGLE SAMPLE


                                 Minitab will also perform power and sample size calculations for the one-sample Z-test on a
                                 proportion. Output from Minitab for the engine controllers tested in Example 9-10 follows.



                                    Power and Sample Size
                                    Test for One Proportion
                                    Testing proportion   0.05 (versus   0.05)
                                    Alpha   0.05
                                    Alternative   Sample
                                     Proportion    Size      Power
                                     3.00E-02      200       0.3287
                                    Power and Sample Size

                                    Test for One Proportion
                                    Testing proportion   0.05 (versus   0.05)
                                    Alpha   0.05
                                    Alternative   Sample     Target    Actual
                                     Proportion    Size      Power     Power
                                     3.00E-02      833       0.9000    0.9001
                                    Power and Sample Size
                                    Test for One Proportion
                                    Testing proportion   0.05 (versus   0.05)
                                    Alpha   0.05

                                    Alternative   Sample     Target    Actual
                                     Proportion    Size      Power     Power
                                     3.00E-02      561       0.7500    0.7503



                                 The first part of the output shows the power calculation based on the situation described in
                                 Example 9-11, where the true proportion is really 0.03. The power calculation from Minitab
                                 agrees with the results from Equation 9-35 in Example 9-11. The second part of the output
                                 computes the sample size necessary to give a power of 0.9 (   0.1) if p   0.03. Again, the
                                 results agree closely with those obtained from Equation 9-38. The final portion of the display
                                 shows the sample size that would be required if p   0.03 and the power requirement is re-
                                 laxed to 0.75. Notice that the sample size of n   561 is still quite large because the difference
                                 between p   0.05 and p   0.03 is fairly small.
               EXERCISES FOR SECTION 9-5

               9-50.  In a random sample of 85 automobile engine crank-  p   0.15, how large would the sample size have to be for us
               shaft bearings, 10 have a surface finish roughness that exceeds  to have a probability of correctly rejecting the null hypothe-
               the specifications. Does this data present strong evidence that  sis of 0.9?
               the proportion of crankshaft bearings exhibiting excess sur-
                                                               9-52.  Reconsider the integrated circuits described in
               face roughness exceeds 0.10? State and test the appropriate
                                                               Exercise 8-48.
               hypotheses using 	  0.05.
                                                               (a) Use the data to test H 0 : p   0.05 versus H 1 : p   0.05. Use
               9-51.  Continuation of Exercise 9-50. If it is really the  	   0.05.
               situation that p   0.15, how likely is it that the test proce-  (b) Find the P-value for the test.
               dure in Exercise 9-50 will not reject the null hypothesis? If
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