3. Use Table 9.1 to solve the... Use Table 9.1 (OR ANY VALID TECHNIQUE) to solve the problem. Consider again that the company making tires for bikes is concerned about the exact width of its cyclocross tires. The information is the same as in #1 above. To what level would it have to reduce the standard deviation in the process to meet a defect target of 0.75%? TABLE 9.1 Sigma 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3 3.2 The Relationship between the Standard Deviations that Fit between Mean and Specification Limit and the Defect Probability Capability Index 0.333333333 0.4 0.466666667 0.533333333 0.6 0.666666667 0.733333333 1 0.8 0.866666667 0.933333333 1.066666667 Probability Too Small 0.1586552539 0.1150696702 0.0807566592 0.0547992917 0.0359303191 0.0227501319 0.0139034475 0.0081975359 0.0046611880 0.0025551303 0.0013498980 0.0006871379 Probability Too Large 0.1586552539 0.1150696702 0.0807566592 0.0547992917 0.0359303191 0.0227501319 0.0139034475 0.0081975359 0.0046611880 0.0025551303 0.0013498980 0.0006074370 Prob(Defect) 0.31731050786 0.23013934044 0.16151331847 0.10959858340 0.07186063823 0.04550026390 0.02780689503 0.01639507185 0.00932237605 0.00511026066 0.00269979606 PPM 317310.5 230139.3 161513.3 109598.6 71860.64 45500.26 27806.9 16395.07 9322.376 5110.261 2699.796 3. Use Table 9.1 to solve the... Use Table 9.1 (OR ANY VALID TECHNIQUE) to solve the problem. Consider again that the company making tires for bikes is concerned about the exact width of its cyclocross tires. The information is the same as in #1 above. To what level would it have to reduce the standard deviation in the process to meet a defect target of 0.75%? TABLE 9.1 Sigma 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3 3.2 The Relationship between the Standard Deviations that Fit between Mean and Specification Limit and the Defect Probability Capability Index 0.333333333 0.4 0.466666667 0.533333333 0.6 0.666666667 0.733333333 1 0.8 0.866666667 0.933333333 1.066666667 Probability Too Small 0.1586552539 0.1150696702 0.0807566592 0.0547992917 0.0359303191 0.0227501319 0.0139034475 0.0081975359 0.0046611880 0.0025551303 0.0013498980 0.0006871379 Probability Too Large 0.1586552539 0.1150696702 0.0807566592 0.0547992917 0.0359303191 0.0227501319 0.0139034475 0.0081975359 0.0046611880 0.0025551303 0.0013498980 0.0006074370 Prob(Defect) 0.31731050786 0.23013934044 0.16151331847 0.10959858340 0.07186063823 0.04550026390 0.02780689503 0.01639507185 0.00932237605 0.00511026066 0.00269979606 PPM 317310.5 230139.3 161513.3 109598.6 71860.64 45500.26 27806.9 16395.07 9322.376 5110.261 2699.796