$\backslash$table$[[\backslash$table$[[$Day$],[$Number$]],\backslash$table$[[$Invoices$],[($nspected$]],\backslash$table$[[$Number$],[$Defective$],[($np$)]],\backslash$table$[[$Fraction$],[$Defective$],[($p$)]],$LCLp$,$UCLp,p bar$],[1,100,22,22\%,11\mathrm{.}88\%,37\mathrm{.}80\%,25\%$A team within the procurement department has undertaken an initiative to enhance the efficiency of managing suppliers. The primary objective is to minimize operational costs associated with supplier$-$related processes by reducing the fraction of suppliers with discrepancies or issues. The team has developed a clear operational definition for a problematic supplier: a supplier is considered problematic if it exhibits inconsistencies in pricing, delivers incorrect quantities, utilizes incorrect coding, provides inaccurate address information, or has incorrect contact names. To assess the impact of their efforts, the team has adopted a method of randomly selecting and evaluating a sample of $100$ suppliers daily. If any of these randomly chosen suppliers are found to have one or more issues, they are labeled as problematic. The team has consistently applied this sampling methodology over the past $25$ days. The data collected during the last $25$ days and already prepared for the assessment. $($see the excel file$).$ Please construct the SPC control to evaluate the process $($Please note, the data is preprocessed. Please build the chart$).$ What variation in the data does the p control chart discover? Is the process in statistical control? What does this mean? Is the process variation acceptable? What should be done next to the process of improving this process?