Question: begin{tabular}{lllllllllll} hline Sample & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 hline

\begin{tabular}{lllllllllll} \hline Sample & 1 &\begin{tabular}{lllllllllll} \hline Sample & 1 &

\begin{tabular}{lllllllllll} \hline Sample & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 \\ \hline Defectives & 4 & 7 & 3 & 5 & 12 & 5 & 5 & 4 & 1 & 12 \\ \hline \end{tabular} The type of control chart that is best to monitor this process is p chart . a) Establish the control limits to include 99.73% of the random variation in defectives. UCLp = (enter your response as a number between 0 and 1 , rounded to three decimal places). LCLp = (enter your response as a number between O and 1 , rounded to three decimal places). b) Has the process been in control? Based on the developed control limits, the number of defectives has been OUT OF CONTROL/INCONTROL c) If the sample size were 20 instead, how would your limits and conclusions change? UCLp= _-___(enter your response as a number between O and 1 , rounded to three decimal places). LCLp = (enter your response as a number between O and 1 , rounded to three decimal places). Based on the developed control limits, the number of defectives has been OUT OF CONTROL/INCONTROL

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