You are managing a customer service centeri One of the key aspects of managing this department is the average time on hold for your customers? You have decided to randomly sample 7 customer calis each hour and measure the time on hold. You would like to know if something different happens in your organization so you can address any issues that arise. You have decided to use statistical process control to identify when specia cavses of variation are present. Use that data to calculate the upper and lower control limits for your x-bat and recharts. You do not know the population standard deviation. Enter your calculations and answers in the green cells. (The chart from the book is at the bottom of this sheet) \begin{tabular}{|r|r|r|r|} \hline Control Limit Factor Table for X-Bar \& R-Charts \\ \hline & & & \\ \hline H & X-Chart & R-Chart & R-Chart \\ Observatio & Factors for & Factors for \\ ns in & FactorsforControl & ControlControl \\ \hline Sample (n) & Limits (A2) & Limits (D3) & Limits (D4) \\ \hline 2 & 1.88 & 0 & 3.27 \\ \hline 3 & 1.02 & 0 & 2.57 \\ \hline 4 & 0.73 & 0 & 2.28 \\ \hline 5 & 0.58 & 0 & 2.11 \\ \hline 6 & 0.48 & 0 & \\ \hline 7 & 0.42 & 0.08 & 1.92 \\ \hline 8 & 0.37 & 0.14 & 1.86 \\ \hline 9 & 0.34 & 0.18 & 1.82 \\ \hline 10 & 0.31 & 0.22 & 1.78 \\ \hline 11 & 0.29 & 0.26 & 1.74 \\ \hline 12 & 0.27 & 0.28 & 1.72 \\ \hline 13 & 0.25 & 0.31 & 1.69 \\ \hline 14 & 0.24 & 0.33 & 1.67 \\ \hline 15 & 0.22 & 0.35 & 1.65 \\ \hline 16 & 0.21 & 0.36 & 1.64 \\ \hline 17 & 0.2 & 0.38 & 1.62 \\ \hline 18 & 0.19 & 0.39 & 1.61 \\ \hline 19 & 0.19 & 0.4 & 1.6 \\ \hline 20 & 0.18 & 0.41 & 1.59 \\ \hline & & & \\ \hline \end{tabular}