NOTE: I would appreciate it greatly if someone could please answer this question and the others I have posted separately. Thank you very much!

FACE is a revolutionary skincare company which creates skin products. The founders of the company Francisco, Adrianna, Connor and Ethan have hired you to conduct a simulation study. You have weekly data on the number of customers ordering shoes from the company's website. This number varies. You need to use this data in your simulation model, and ran the data through Arena's Input Analyzer. Answer the below questions. Refer to the Figures 1, 2 and 3 to substantiate your responses, for example: "I think that the data because of the information in Figure _ indicates a) Which statistical distribution would you use in your simulation model to describe the number orders received each day? (1 point) b) Discuss why you selected the answer above ( 2 points) c) Assume that in part (b) you believe the data to be a good fit. What expression would you use in Arena to describe this distribution? (1 point) d) Assume that in part (b) you believe the data to be a poor fit. List two things you could do in your model to address this shortcoming as discussed in class. ( 2 points) Figure 1 Distribution Summary Distribution: Gamma Expression: 95+GAMM(9.26,3.06) Square Error: 0.002982 Chi Square Test Number of intervals =12 Degrees of freedom =9 Test Statistic =16 Corresponding p-value =0.0697 Kolmogorov-Smirnov Test Test Statistic =0.0347 Corresponding p-value >0.15 Data Summary Number of Data Points =500 Min Data Value =95.4 Max Data Value =219 Sample Mean =123 Sample Std Dev =16.6 Histogram Summary Histogram Range =95 to 220 Number of Intervals =22 Input3 - Fit All Summary \begin{tabular}{ll} l================================= \\ Fit All Summary \\ Data File: & \\ & \multicolumn{1}{l}{ Sq Error } \\ Function & 0.00298 \\ Gamma & 0.003 \\ Erlang & 0.00319 \\ Lognormal & 0.00622 \\ Weibull & 0.00697 \\ Beta & 0.0145 \\ Normal & 0.0331 \\ Triangular & 0.051 \\ Exponential & 0.05 \\ Uniform & 0.0748 \\ & \end{tabular} Figure 3 Edit View Insert Format Tools Table FACE is a revolutionary skincare company which creates skin products. The founders of the company Francisco, Adrianna, Connor and Ethan have hired you to conduct a simulation study. You have weekly data on the number of customers ordering shoes from the company's website. This number varies. You need to use this data in your simulation model, and ran the data through Arena's Input Analyzer. Answer the below questions. Refer to the Figures 1, 2 and 3 to substantiate your responses, for example: "I think that the data because of the information in Figure _ indicates a) Which statistical distribution would you use in your simulation model to describe the number orders received each day? (1 point) b) Discuss why you selected the answer above ( 2 points) c) Assume that in part (b) you believe the data to be a good fit. What expression would you use in Arena to describe this distribution? (1 point) d) Assume that in part (b) you believe the data to be a poor fit. List two things you could do in your model to address this shortcoming as discussed in class. ( 2 points) Figure 1 Distribution Summary Distribution: Gamma Expression: 95+GAMM(9.26,3.06) Square Error: 0.002982 Chi Square Test Number of intervals =12 Degrees of freedom =9 Test Statistic =16 Corresponding p-value =0.0697 Kolmogorov-Smirnov Test Test Statistic =0.0347 Corresponding p-value >0.15 Data Summary Number of Data Points =500 Min Data Value =95.4 Max Data Value =219 Sample Mean =123 Sample Std Dev =16.6 Histogram Summary Histogram Range =95 to 220 Number of Intervals =22 Input3 - Fit All Summary \begin{tabular}{ll} l================================= \\ Fit All Summary \\ Data File: & \\ & \multicolumn{1}{l}{ Sq Error } \\ Function & 0.00298 \\ Gamma & 0.003 \\ Erlang & 0.00319 \\ Lognormal & 0.00622 \\ Weibull & 0.00697 \\ Beta & 0.0145 \\ Normal & 0.0331 \\ Triangular & 0.051 \\ Exponential & 0.05 \\ Uniform & 0.0748 \\ & \end{tabular} Figure 3 Edit View Insert Format Tools Table