Question: Please help me complete E, F, G, & H. Using samples of 200 credit card statements, an auditor found the following: Use Table-A. Sample 1

Please help me complete E, F, G, & H.

Please help me complete E, F, G, & H. Using

Using samples of 200 credit card statements, an auditor found the following: Use Table-A. Sample 1 2 3 4 Number with errors 4 1 6 12 Determine the fraction defective in each sample. (Round your answers to 4 decimal places.) Sample 1 2 3 4. Fraction defective .02 .005 .03 .06 b. If the true fraction defective for this process is unknown, what is your estimate of it? (Enter your answer as a percentage rounded to 1 decimal place. Omit the "%" sign in your response.) Estimate 2.88 % c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size? (Round your intermediate calculations and final answers to 4 decimal places.) 0288 Mean Standard deviation .0118 d. What control limits would give an alpha risk of 03 for this process? (Round your intermediate calculations to 4 decimal places. Round your "z" value to 2 decimal places and other answers to 4 decimal places.) Z Lower limit Upper limit 2.17 .0544 .0032 e. What alpha risk would control limits of 0106 and 0470 provide? (Round your intermediate calculations to 4 decimal places. Round your "z" value to 2 decimal places and "alpha risk" value to 4 decimal places.) Z= alpha risk = 1 f. Using control limits of 0106 and 0470, is the process in control? no yes g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What are the values of the mean and standard deviation of the sampling distribution? (Round your intermediate calculations and final answers to 2 decimal places.) Mean Standard deviation h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using two-sigma control limits. Is the process in control? O Yes O No Table A Areas under the normal curve, 0 to z 0 Z Z .00 .01 .03 .04 .05 .06 .07 .08 .09 0.0 0.1 .0000 .0398 .0793 .1179 .1554 0.2 .02 .0080 .0478 .0871 .1255 .1628 .0040 .0438 .0832 .1217 .1591 .0120 .0517 .0910 .1293 .1664 .0160 .0557 .0948 .1331 .1700 .0199 .0596 .0987 .1368 .1736 .0239 .0636 .1026 .1406 .1772 .0279 ,0675 .1064 .1443 .1808 .0319 .0714 .1103 .1480 .1844 .0359 .0753 .1141 .1517 .1879 0.3 0.4 0.5 0.6 0.7 0.8 0.9 .1915 .2257 .2580 .2881 3159 .1950 2291 .2611 .2910 .3186 .1985 2324 .2642 .2939 .3212 .2019 .2357 .2673 .2967 .3238 .2054 .2389 .2703 2995 .3264 .2088 2422 .2734 3023 .3289 .2123 .2454 2764 .3051 .3315 .2157 .2486 2794 .3078 3340 2190 .2517 2823 3106 3365 .2224 .2549 2852 .3133 .3389 1.0 1.1 1.2 1.3 3413 3643 3849 .4032 .4192 .3438 .3665 .3869 4049 .4207 .3461 3686 .3888 .4066 .4222 .3485 .3708 .3907 ,4082 4236 .3508 .3729 3925 .4099 4251 3531 3749 3944 .4115 .4265 .3554 3770 .3962 .4131 .4279 .3577 .3790 3980 .4147 .4292 3599 .3810 3997 .4162 4306 .3621 .3830 4015 .4177 4319 1.4 1.5 1.6 1.7 1.8 1.9 4332 .4452 .4554 .4641 .4713 .4345 .4463 4564 .4649 .4719 4357 .4474 .4573 4656 .4726 4370 .4484 .4582 4664 4732 .4382 .4495 .4591 4671 4738 .4394 .4505 4599 .4678 .4744 .4406 .4515 .4608 .4686 .4750 .4418 .4525 4616 .4693 .4756 4429 4535 .4625 4699 4761 4441 .4545 4633 .4706 4767 .4798 2.0 2.1 2.2 2.3 2.4 .4772 .4821 .4861 .4893 .4918 .4778 .4826 .4864 .4896 .4920 .4783 4830 4868 4898 4922 .4788 .4834 .4871 4901 .4925 .4793 4838 4875 .4904 .4927 .4842 .4878 .4906 .4929 4803 .4846 .4881 .4909 .4931 4808 4850 4884 .4911 .4932 .4812 4854 .4887 4913 .4934 .4817 4857 4890 4916 4936 .4946 .4951 .4963 2.5 2.6 2.7 2.8 2.9 .4938 .4953 .4965 .4974 .4981 4940 .4955 .4966 .4975 .4982 4941 4956 4967 .4976 .4982 4943 .4957 4968 .4977 .4983 4945 .4959 4969 .4977 4984 .4960 .4970 .4978 .4984 .4948 4961 .4971 .4979 .4985 .4949 4962 .4972 .4979 .4985 4973 4980 4986 4952 .4964 .4974 .4981 4986 3.0 .4987 .4987 4987 4988 4988 .4989 .4989 .4989 .4990 .4990

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