Use the information below to answer the following question$($s$).$

Consider the following spreadsheet for an outsourcing decision model.

$\backslash$table$[[,$A$,$B$],[1,$Outsourcing Decision Model,$],[2,,],[3,$Data,$],[4,,],[5,$Manufactured in$-$house,$],[6,$Fixed cost,$560,000],[7,$Unit variable cost,$],[8,,],[9,$Purchased from supplier,$],[10,$Unit cost,$],[11,,],[12,$Demand volume,$],[13,,],[14,$Model,$],[15,,],[16,$Total manufacturing cost,$],[17,$Total purchased cost,$],[18,$Difference,$],[19,$Decision,$]]$

We assume that the production $($demand$)$ volume is normally distributed with a mean of $1,000$ and a standard deviation of $100.$ For the unit cost, select the triangular distribution. It has a minimum value of $$150,$ most likely value of $$165,$ and a maximum value of $$190.$ The number of trials per simulation is equal to $5,000$ at a Sim. Random Seed of $1.$ Run the simulation and answer the following question$($s$)$ using the Analytic Solver Platform.

$[$Hint: choose the closest value.$]$

Determine the value of standard deviation found from the simulation results

Select one:

a$.$ $$9,175$

b$.$ $$7,884$

c$.$ $$3,860$

d$.$ $$12,870$