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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.) d. What control limits would give an alpha risk of 03 for this process? (Round your intermediate calculations to 4 decimal places. Round your " 2 " value to 2 decimal places and other answers to 4 decimal places.) e. What alpha risk would control limits of 0470 and .0014 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.) \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|} \hlinez & .00 & .01 & .02 & .03 & .04 & .05 & .06 & .07 & .08 & .09 \\ \hline 0.0 & .0000 & .0040 & .0080 & .0120 & .0160 & 0199 & .0239 & .0279 & .0319 & .0359 \\ \hline 0.1 & 0398 & .0438 & 0478 & .0517 & .0557 & 0596 & .0536 & .0675 & 0714 & .0753 \\ \hline 0.2 & .0793 & .0832 & 0871 & .0910 & .0948 & 0987 & .1026 & .1064 & .1103 & .1141 \\ \hline 0.3 & .1179 & .1217 & .1255 & .1293 & .1331 & .1368 & v,1406 & 1443 & .1480 & .1517 \\ \hline 0.4 & .1554 & .1591 & .1628 & .1664 & .1700 & .1736 & .1772 & .1808 & .184 & .1879 \\ \hline 0.5 & .1915 & .1950 & .1985 & 2019 & .2054 & 2088 & 2123 & 2157 & 2190 & m \\ \hline 0.6 & .2257 & 2291 & .2324 & .2357 & 2389 & .2422 & 2454 & 2485 & 2517 & 2549 \\ \hline 0.7 & .2580 & 2611 & .2642 & 2673 & .2703 & .2734 & 2764 & 2794 & 2823 & 2052 \\ \hline 0.8 & 2881 & .2910 & .2839 & 2967 & .2995 & 3023 & .3051 & .3078 & 3106 & .3133 \\ \hline 0.9 & 3159 & .3186 & 3212 & 3238 & .3264 & .3289 & .3315 & .3340 & 3365 & 3359 \\ \hline 1.0 & 3413 & .3438 & 3461 & 3485 & .3508 & 3531 & 3554 & 3577 & 3599 & .3621 \\ \hline 1.1 & 3643 & .3665 & 3686 & 3708 & 3728 & 3749 & 3770 & 3790 & 3810 & .3830 \\ \hline 12 & 3849 & .3869 & 3888 & 3907 & .3925 & 394 & 3962 & 3980 & 3997 & .4015 \\ \hline 1.3 & .4032 & .4049 & .4066 & .4082 & 4099 & .4115 & .4131 & .4147 & 4162 & 4177 \\ \hline 1.4 & .4192 & .4207 & .422 & 4236 & 4251 & 4265 & .4279 & .4292 & 4306 & A319 \\ \hline 15 & .4332 & .4345 & .4357 & 4370 & 4382 , & .4394 & .4406 & 4418 & 4429 & 4441 \\ \hline 1.6 & .4452 & 4463 & 4474 & 4484 & 4495 & 4505 & .4515 & .4525 & .4535 & 4545 \\ \hline 1.7 & .4554 & .4564 & .4573 & .4582 & 4591 & 4599 & .4608 & .4616 & 4625 & 4633 \\ \hline 18 & 4641 & 4649 & 4656 & 4664 & 4671 & .4578 & 4686 & .4690 & .4699 & .4706 \\ \hline 19 & .4713 & .4719 & 4726 & 4732 & .4738 & 4744 & .4750 & .4756 & 4781 & .4767 \\ \hline 20 & 772 & 4778 & A783 & 4788 & .4793 & .4798 & .4803 & 4808 & A812 & 4817 \\ \hline 2.1 & 4821 & 4826 & 4830 & 4834 & 4838 & .4842 & 4846 & 4850 & .4254 & .4857 \\ \hline 22 & 4881 & 4854 & 4868 & 4871 & 4875 & 4878 & .4881 & 4884 & 4887 & 4890 \\ \hline 2.3 & .4893 & 4896 & 4898 & 4901 & 4904 & 4906 & 4909 & .4911 & 4913 & 4916 \\ \hline 24 & 4918 & 4920 & .4922 & 4925 & 4927 & .4929 & .4931 & 4932 & ASB4 & .4936 \\ \hline 2.5 & .4838 & 4940 & ASA1 & 4943 & 4945 & .4946 & .4943 & . 4949 & A 4951 & A952 \\ \hline 26 & .4953 & 4955 & 4956 & A957 & 4959 & 4960 & 4961 & 4962 & 4563 & 4964 \\ \hline 2.7 & .4955 & 4966 & AS67 & 4968 & 4969 & 4970 & .4977 & 4972 & .4973 & 4974 \\ \hline 2B & .4974 & 4975 & A976 & 4977 & 497 & 4978 & 4979 & .4979 & 4380 & A981 \\ \hline 29 & 4981 & 4982 & 4982 & 4983 & A984 & 4984 & .4985 & .4985 & 4586 & 4996 \\ \hline 3.0 & .4887 & 4987 & 4987 & A988 & 4988 & 4989 & .4989 & .4989 & 4990 & A990 \\ \hline \end{tabular} Using samples of 196 credit card statements, an auditor found the following: Use Table-A. Click here for the Excel Data File a. Determine the fraction defective in each sample. (Round your answers to 4 decimal places.) b. If the true fraction defective for this process is unknown, what is your estimate of it? (Round your answer to 1 decimal pla