estimated as follows:

$\backslash$table$[[\backslash$table$[[$Procurement$],[$Cost $($$$)]],$Probability,Labor Cost $($$$),$Probability,Transportation,$],[10,0\mathrm{.}25,20,0\mathrm{.}10,3,0\mathrm{.}75],[11,0\mathrm{.}45,22,0\mathrm{.}25,5,0\mathrm{.}25],[12,0\mathrm{.}30,24,0\mathrm{.}35,,],[,,25,0\mathrm{.}30,,]]$

a$.$ Compute profit per unit for the base$-$case, worst$-$case, and best$-$case.

Profit per unit for the base$-$case: $

Profit per unit for the worst$-$case: $

Profit per unit for the best$-$case: $

b$.$ Construct a simulation model to estimate the mean profit per unit. If required, round your answer to the nearest cent.

Mean profit per unit $=$$

c$.$ Why is the simulation approach to risk analysis preferable to generating a variety of what$-$if scenarios?