Please help.

Problem 10-5 Using samples of 200 credit card statements, an auditor found the following: Use Table-A. Sample Number with errors 1 4 2 3 4 1 6 12 4. Determine the fraction defective in each sample. (Round your answers to 4 declmal places.) Fraction defective Sample 1 2 3 4 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 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.) Mean Standard deviation 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 declmal places.) Z Lower limit Upper limit e. What alpha risk would control limits of .0106 and 0470 provide? (Round your Intermediate calculations to 4 declmal places. Round your "z" value to 2 decimal places and "alpha risk" value to 4 decimal places.) 1.51 alpha risk = .1310 f. Using control limits of .0106 and 0470, is the process in control? no yes 9. 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 .01 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? Yes Table A Areas under the normal curve, 0 to z 0 Z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.0 0.1 0.2 0.3 0.4 .0000 .0398 .0793 .1179 .1554 .0040 .0438 .0832 .1217 .1591 .0080 .0478 .0871 .1255 .1628 .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 0.5 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 1.4 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 1.5 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 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 .4798 .4842 4878 .4906 .4929 .4803 .4846 4881 .4909 .4931 4808 4850 4884 .4911 4932 4812 4854 4887 4913 4934 .4817 4857 4890 .4916 .4936 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 .4946 4960 .4970 .4978 .4984 4948 4961 .4971 .4979 .4985 4949 .4962 .4972 .4979 4985 4951 .4963 4973 .4980 4986 .4952 4964 .4974 .4981 4986 3.0 .4987 .4987 4987 4988 4988 .4989 4989 .4989 4990 .4990