In the table below are selected values for the OC curve associated with the acceptance sampling plan n=50, c=1. (Watch out--the points are not evenly spaced.) Assume that upon failed inspection, defective items are replaced. Calculate the AOQ for each data point. (You may assume that the population is much larger than the sample.) Plot the AOQ curve. At approximately what population defective rate is the AOQ at its worst?
Explain how this happens. How well does this plan meet the specifications of AQL=0.0050, α =0.05; LTPD=0.05, β =0.10?
Discuss.
$$\begin{array} { | c | c | }
\hline \begin{array} { c }
\text { Population percent } \
\text { defective }
\end{array} & \begin{array} { c }
\text { Probability of } \
\text { acceptance }
\end{array} \
\hline 0.005 & 0.97387 \
\hline 0.01 & 0.91056 \
\hline 0.02 & 0.73577 \
\hline 0.03 & 0.55528 \
\hline 0.04 & 0.40048 \
\hline 0.05 & 0.27943 \
\hline 0.06 & 0.19000 \
\hline 0.08 & 0.08271 \
\hline
\end{array}$$

Question

In the table below are selected values for the OC curve associated with the acceptance sampling plan n=50, c=1. (Watch out--the points are not evenly spaced.) Assume that upon failed inspection, defective items are replaced. Calculate the AOQ for each data point. (You may assume that the population is much larger than the sample.) Plot the AOQ curve. At approximately what population defective rate is the AOQ at its worst?
 Explain how this happens. How well does this plan meet the specifications of AQL=0.0050, α =0.05; LTPD=0.05, β =0.10?
 Discuss.
 $$\begin{array} { | c | c | } 
\hline \begin{array} { c } 
\text { Population percent } \
\text { defective }
\end{array} & \begin{array} { c } 
\text { Probability of } \
\text { acceptance }
\end{array} \
\hline 0.005 & 0.97387 \
\hline 0.01 & 0.91056 \
\hline 0.02 & 0.73577 \
\hline 0.03 & 0.55528 \
\hline 0.04 & 0.40048 \
\hline 0.05 & 0.27943 \
\hline 0.06 & 0.19000 \
\hline 0.08 & 0.08271 \
\hline
\end{array}$$

Quizplus · Accepted Answer

The Answer of In the table below are selected values for the OC curve associated with the acceptance sampling plan n=50, c=1. (Watch out--the points are not evenly spaced.) Assume that upon failed inspection, defective items are replaced. Calculate the AOQ for each data point. (You may assume that the population is much larger than the sample.) Plot the AOQ curve. At approximately what population defective rate is the AOQ at its worst?
 Explain how this happens. How well does this plan meet the specifications of AQL=0.0050, α =0.05; LTPD=0.05, β =0.10?
 Discuss.
 $$\begin{array} { | c | c | } 
\hline \begin{array} { c } 
\text { Population percent } \
\text { defective }
\end{array} & \begin{array} { c } 
\text { Probability of } \
\text { acceptance }
\end{array} \
\hline 0.005 & 0.97387 \
\hline 0.01 & 0.91056 \
\hline 0.02 & 0.73577 \
\hline 0.03 & 0.55528 \
\hline 0.04 & 0.40048 \
\hline 0.05 & 0.27943 \
\hline 0.06 & 0.19000 \
\hline 0.08 & 0.08271 \
\hline
\end{array}$$

In the Table Below Are Selected Values for the OC