$($a$)$ Compute profit $($in $\backslash$$$)$ per unit for the base$-$case scenario.

$\backslash$$ $\backslash (\backslash$times $\backslash )/$unit

$($b$)$ Compute profit $($in $\backslash$$$)$ per unit for the worst$-$case scenario.

$\backslash$$$1$

$\backslash (\backslash$times $\backslash )/$unit

$($c$)$ Compute profit $($in $\backslash (\backslash$$ $\backslash ))$ per unit for the best$-$case scenario.

$\backslash$$ $1$

I x $/$unit

$($d$)$ Construct a simulation model to estimate the mean profit $($in $\backslash$$$)$ per unit. $($Use at least $1,000$ trials. Round your answer to two decimal places.$)$

$\backslash (\backslash$$ $\backslash )\backslash (\{\}\_\{8\}^\{8\}\backslash )$

$($e$)$ Why is the simulation approach to risk analysis preferable to generating a variety of what$-$if scenarios?

Simulation will provide

$-$ of the profit per unit values which can then be used to find the probability $\backslash (\backslash$sim $\backslash )$ of an unacceptably low profit.

$($f$)$