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Unformatted text preview: ions require that a k ey dimens ion on a produc t meas ure 100 ± 10 units . A proc es s being
c ons idered for produc ing this produc t has a s tandard dev iation of four units .
a. What c an y ou s ay (quantitativ ely ) regarding the proc es s c apability ? As s ume that the proc es s is
c entered with res pec t to s pec ific ations . (Round your answer to 4 decim al places.) Proc es s c apability 0.8333 b. Suppos e the proc es s av erage s hifts to 92. Calc ulate the new proc es s c apability . (Round your answer
to 4 decim al places.) New proc es s c apability 0.1667 c. What is the probability of defec tiv e output after the proc es s s hift? (Use Excel's NORMSDIST()
function to find the correct probability for your com puted Zvalue.Round "z " value to 2 decim al
places and final answer to 4 decim al places.) Probability of defec tiv e output 0.3085 Worksheet Problem 135 Learning Objective: 1301 Illustrate
process variation and explain how to
measure it. Problem 135
Des ign s pec ific ations require that a k ey dimens ion on a produc t meas ure 100 ± 10 units . A proc es s being
c ons idered for produc ing this produc t has a s tandard dev iation of four units .
a. What c an y ou s ay (quantitativ ely ) regarding the proc es s c apability ? As s ume that the proc es s is
c entered with res pec t to s pec ific ations . (Round your answer to 4 decim al places.) Proc es s c apability 0.8333 ± .001 b. Suppos e the proc es s av erage s hifts to 92. Calc ulate the new proc es s c apability . (Round your answer
to 4 decim al places.) New proc es s c apability 0.1667 ± .001 c. What is the probability of defec tiv e output after the proc es s s hift? (Use Excel's NORMSDIST()
function to find the correct probability for your com puted Zvalue.Round "z " value to 2 decim al
places and final answer to 4 decim al places.) Probability of defec tiv e output 0.3085 ± .0005 Explanation:
a. b.
http://e z to.mhe c loud.mc gr a w hill.c om/hm.tpx? todo= pr intvie w 15/29 1/29/2014 Assignme nt Pr int Vie w c. Many defec ts will be produc ed. As s uming a normal dis tribution, the left tail is z = (90 − 92)/4 = − 0.50,
whic h c orres ponds to a probability of 0.3085. The right tail is z = (110 − 92)/4 = 4.50, whic h
approx imately c orres ponds to a probability of 1.0000. The probability abov e the USL is 1 − 1.0000 =
0.0000. Therefore, 0.3085 (0.3085 + 0.0000) or approx imately 31% are outs ide the s pec ific ation limits . http://e z to.mhe c loud.mc gr a w hill.c om/hm.tpx? todo= pr intvie w 16/29 1/29/2014 13. Assignme nt Pr int Vie w awar d: 1.42 out of
1.42 points Problem 136
CSpec , Inc ., is attempting to determine whether an ex is ting mac hine is c apable of milling an engine part
that has a k ey s pec ific ation of 4 ± .003 inc hes . After a trial run on this mac hine, CSpec has determined
that the mac hine has a s ample mean of 4.001 inc hes with a s tandard dev iation of .002 inc h.
a. Calc ulate the Cpk for this mac hine. (Round your answer to 3 decim al places.) Cpk 0.333 b. Should CSpec us e this mac hine to produc e this part? No Worksheet Problem 136 Learning Objective: 1301 Illustrate
process variation and explain how to
measure it. Problem 136
CSpec , Inc ., is attempting to determine whether an ex is ting mac hine is c apable of milling an engine part
that has a k ey s pec ific ation of 4 ± .003 inc hes . After a trial run on this mac hine, CSpec has determined
that the mac hine has a s ample mean of 4.001 inc hes with a s tandard dev iation of .002 inc h.
a. Calc ulate the Cpk for this mac hine. (Round your answer to 3 decim al places.) Cpk 0.333 ± .005 b. Should CSpec us e this mac hine to produc e this part? No Explanation:
a. b. No, the mac hine is not c apable of produc ing the part at the des ired quality lev el. 14. awar d: 1.42 out of
1.42 points Problem 1310
You are the newly appointed as s is tant adminis trator at a loc al hos pital, and y our firs t projec t is to
http://e z to.mhe c loud.mc gr a w hill.c om/hm.tpx? todo= pr intvie w 17/29 1/29/2014 Assignme nt Pr int Vie w inv es tigate the quality of the patient meals put out by the foods erv ic e department. You c onduc ted a 10
day s urv ey by s ubmitting a s imple ques tionnaire to the 400 patients with eac h meal, as k ing that they
s imply c hec k off that the meal was either s atis fac tory or uns atis fac tory . For s implic ity in this problem,
as s ume that the res pons e was 1,000 retur...
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This note was uploaded on 01/29/2014 for the course MAN 4504 taught by Professor Georgekyparisis during the Fall '09 term at FIU.
 Fall '09
 GEORGEKYPARISIS
 Management

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