Question 4. Consider a process to produce a certain product. If sample of a kiten 5 are taken on regular basis that provide average of the sample means of 66 and the average of standard deviation of 4 The USL is 89 and LSL is 43. Calculate Cound Cat for the process, Which one of the capability measures is appropriate for this case and why? he U 0001 MODS 2000 1000 STE DE 1 1 . 02 . . EU LU 0.0011 00 - w TE RE O HRT SIRI . NE BE G. 30 E 3 DIE SITE THE G a 00 wit TORE TEET 00 2001 TE . 200 GE EITHE IT LO INIC TO LE LISTE W TO 300 . SAU LI TH G TE THE HE PC HET WE ! 00045 ME M TO TOCO 300 2 CHER 1 LO TO GAS 20 Het TIR 13 10 ena HOT - CM 000 MER HO LE AD 1 E RES LE LO TO WEB CH LO THE E ON ET 900 C- C- G C= C- C= C G GE C- C C= 6.5 C 7.5 C- 8 G 9 w C- 3.5 0.0302 1 1.5 2 2.5 4.5 5 6 7 5.5 0.0041 3.5 0.0002 0 0.3679 0.2231 0.1353 0.0621 0.0498 EBTOO 0.0067 0.0015 0.0009 0.0006 0.0001 0.0111 0.0511 0.0025 0.0174 0.0003 0.0030 1 0.7358 0.4060 0.2873 0.1991 0.1359 91600 0.0404 0.0266 ETTOO 0.0073 0.0047 0.0019 0.0012 0.557E O BOBB 2 0.6767 0.5438 0.4232 03208 0.2381 0.1735 0.1247 0.0620 0.0430 0.0296 0.0203 0.0138 0.0093 0.0062 0.9197 0.9910 09963 0.0884 0.2017 E 0.9344 0.8571 0.7576 0.6472 0.5366 0.4335 0.2650 0.1118 0.0591 0.0424 0.0301 0.0212 0.3423 05321 0.1512 02851 0.0818 01730 4 0.9814 0.9423 08912 0.8153 0.7254 0.6288 0.4405 0.3575 0.2237 0.1321 0.0995 0.0744 0.0550 0.1157 5 0.9994 0.9955 0.9834 0.9580 0.9161 0.8576 0.7851 0.7029 0.6160 0.5289 03690 0.3007 0.2414 0.1912 0.1496 0.4457 0.6063 5 0.9999 0.9991 0.9955 0.9858 0.9665 0.9347 0.8893 0.8311 0.7622 0.6860 0.5265 0.4497 0.3782 0.3134 0.2562 0.2068 1.0000 0.9998 0.9989 09958 0.9881 0.9733 0.9489 0.9134 0.8666 0.8095 0.7440 0.5987 0.5246 0.4530 0.3239 0.6728 0.7916 0.3856 0.5231 a 1.0000 1.0000 86660 09989 0.9952 0.9901 0.9786 0.9319 0.8944 0.8472 0.7291 0.6620 0.5925 0.4557 9 1.0000 10000 0.9997 0.9989 0.9967 0.9682 0.9597 0.9829 0.9933 0.9462 0.9161 0.8774 0.8305 0.7166 0.6530 1.0000 1.0000 0.5874 0.9919 0.9972 0.7764 0.8622 10 1.0000 1.0000 0.9999 0.9997 0.9990 0.9863 0.9747 0.9574 0.9332 0.9015 0.8159 0.7634 0.7060 11 1.0000 10000 10000 0.9997 0.9991 0.9976 0.9945 0.9590 0.9661 0.9457 0.9208 0.8883 0.3487 0.8030 1.0000 1.0000 1.0000 0.9999 1.0000 0.9799 0.9912 12 1.0000 0.9999 0.9997 0.9992 0.9980 0.9955 0.9840 0.9730 0.9362 0.9091 1.0000 10000 0.9573 09794 0.8758 0.9261 13 1.0000 1.0000 1.0000 0.9999 0.9997 0.9964 0.9872 0.9486 1.0000 1.0000 1.0000 10000 0.9993 0.9998 0.9929 0.9970 0.9558 0.9827 14 10000 1.0000 09943 0.9726 0.9983 0.9994 0.9998 1.0000 1.0000 0.9585 1.0000 10000 1 0000 10000 1.0000 1.0000 10000 0.9999 1.0000 0.9986 0-9995 09897 0.9954 15 10000 1.0000 9976 0.9780 0.9999 1.0000 0.9988 0.9996 0.9918 0.9963 0.9862 0.9934 16 10000 1.0000 1.0000 1.0000 0.9998 0.9889 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.9999 10000 0.9990 09996 0.9980 0.9992 17 10000 10000 1.0000 1.0000 1.0000 1.0000 0.9999 0.9998 0.9984 0.9970 0.9947 18 1.0000 1.0000 1.0000 1.0000 10000 1.0000 1.0000 1.0000 1.0000 1 0000 0.9999 0.9997 0.9983 0.9975 1.0000 1 0000 0.9999 10000 0.9993 0.9997 19 10000 1.0000 10000 1 0000 1.0000 10000 0.9999 0.9989 10000 10000 10000 10000 20 0.9995 0.9998 1.0000 1.0000 1.0000 1.0000 10000 10000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.9995 1.0000 1.0000 10000 1.0000 1.0000 1.0000 10000 1.0000 10000 21 0.9999 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1 0000 10000 1.0000 1.0000 1.0000 10000 1.0000 10000 0.9999 0.9993 1.0000 1 0000 10000 10000 10000 10000 1.0000 10000 1 0000 1.0000 1.0000 0.9999 22 23 1.0000 10000 1.0000 00001 1.0000 1.0000 1.0000 1.0000 10000 10000 1.0000 0000T 1.0000 1.0000 10000 1.0000 1.0000 10000 24 1.0000 10000 1.0000 0000T 0000T 1.0000 10000 1.0000 1.0000 1.0000 10000 OGOOT 10000 1.0000 1.0000 1.0000