Question #235510

1.    The fraction of defective integrated circuits produced in a photolithography process is being studied. A random sample of 300 circuits is tested, revealing 13 defectives.

a.    Calculate a 95% two-sided CI on the fraction of non-defective circuits produced by this particular tool.


b.    Calculate a 90% upper confidence bound on the fraction of defective circuits.


1
Expert's answer
2021-09-13T00:04:40-0400

Number of defective = 13

Total number of circuits = 300

a) Proportion of defective integrated circuits

p^=xn=13300=0.0433\hat{p} = \frac{x}{n}= \frac{13}{300}= 0.0433

We will use Noramal distribution

np=300×0.0433=13n(1p)=300×(10.0433)=287np= 300 \times 0.0433 = 13 \\ n(1-p) = 300 \times (1-0.0433) = 287

95% two sided CI will be:

p^Z0.025p^(1p^)npp^+Z0.025p^(1p^)nZ0.025=1.96  (from  table)0.04331.96×0.011p0.0433+1.96×0.0110.02274p0.06486\hat{p} -Z_{0.025} \sqrt{ \frac{\hat{p}(1- \hat{p})}{n}} ≤ p ≤ \hat{p} + Z_{0.025} \sqrt{ \frac{\hat{p}(1- \hat{p})}{n}} \\ Z_{0.025} = 1.96 \;(from \;table) \\ 0.0433 - 1.96 \times 0.011 ≤ p ≤ 0.0433 + 1.96 \times 0.011 \\ 0.02274 ≤ p ≤ 0.06486

b) 95% upper confidence bound

pp^+Z0.05p^(1p^)nZ0.05=1.645p0.0433+1.9450.0433×0.9567300p0.0627p ≤ \hat{p} + Z_{0.05} \sqrt{\frac{\hat{p}(1- \hat{p})}{n}} \\ Z_{0.05}= 1.645 \\ p ≤ 0.0433 + 1.945 \sqrt{\frac{0.0433 \times 0.9567}{300}} \\ p ≤ 0.0627


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