To create a product, we need to use two components. The cost of each component and the sale price and quantity of the product are given as probability distributions. The profit per day is the total sale per day minus total cost. 1) Fill the lower bounds for each probability 2) Find the average profit per day using simulation for 100 days. 3) Use data table to repeat your 10 4) Make sure to fill the yellow cell. \begin{tabular}{|c|c|c|} \hline Sale Quantity/day & Probability & Cumulative Prob. Lower bound \\ \hline 12 & 0.33 & \\ 14 & 0.33 & \\ 15 & 0.34 & \\ \hline \end{tabular} \begin{tabular}{|c|c|c|} \hline & Average daily profit in steady-stat \\ \hline & & \\ \hline & & \\ \hline 1 & Probability & Cumulative Prob. \\ \hline & & Lower bound \\ \hline 10 & 0.15 & \\ \hline 20 & 0.35 & \\ \hline 30 & 0.4 & \\ \hline 40 & 0.1 & \\ \hline \end{tabular} Data Table To create a product, we need to use two components. The cost of each component and the sale price and quantity of the product are given as probability distributions. The profit per day is the total sale per day minus total cost. 1) Fill the lower bounds for each probability 2) Find the average profit per day using simulation for 100 days. 3) Use data table to repeat your 10 4) Make sure to fill the yellow cell. \begin{tabular}{|c|c|c|} \hline Sale Quantity/day & Probability & Cumulative Prob. Lower bound \\ \hline 12 & 0.33 & \\ 14 & 0.33 & \\ 15 & 0.34 & \\ \hline \end{tabular} \begin{tabular}{|c|c|c|} \hline & Average daily profit in steady-stat \\ \hline & & \\ \hline & & \\ \hline 1 & Probability & Cumulative Prob. \\ \hline & & Lower bound \\ \hline 10 & 0.15 & \\ \hline 20 & 0.35 & \\ \hline 30 & 0.4 & \\ \hline 40 & 0.1 & \\ \hline \end{tabular} Data Table