PA $13-5($Algo$)$ Teddy Bower is an outdoor clothing and accessories chain...

Teddy Bower is an outdoor clothing and accessories chain that purchases a line of parkas at $$10$ each from its Asian supplier, TeddySports. Unfortunately, at the time of the order placement, demand is still uncertain: Teddy Bower forecasts that its demand is normally distributed with a mean of $1,800$ and a standard deviation of $1,500.$ Teddy Bower sells these parkas at $$22$ each. Unsold parkas have little salvage value; Teddy Bower simply gives them away to a charity $($and also doesn$$t collect a tax benefit for the donation$).$ Use Table $13\mathrm{.}4.$

Note: Do not round intermediate calculations. If a part of the question specifies whether to use Table $13\mathrm{.}4,$ or to use Excel, then credit for a correct answer will depend on using the specified method.

What is the probability this parka turns out to be a $$dog$,$ defined as a product that sells less than half of the forecast? Use Excel.

Note: Round your answer to $4$ decimal places.

How many parkas should Teddy Bower buy from TeddySports to maximize expected profit? Use Table $13\mathrm{.}4$ and the round$-$up rule.

Note: Enter your answer as a whole number.

If Teddy Bower orders $2,750$ parkas, what is the in$-$stock probability? Use Excel.

Note: Round your answer to $4$ decimal places.

If Teddy Bower orders $2,750$ parkas, what is expected leftover inventory? Use Table $13\mathrm{.}4$ and the round$-$up rule.

Note: Round your answer to $2$ decimal places.

If Teddy Bower orders $2,750$ parkas, what is expected sales? Use your result from Part d$.$

Note: Round your answer to $2$ decimal places.

If Teddy Bower orders $2,750$ parkas, what is expected profit? Use your results from Part d and Part e$.$

Note: Round your answer to $2$ decimal places.

How many parkas should Teddy Bower order to ensure a $98\mathrm{.}5\%$ in$-$stock probability? how many parkas should Teddy Bower$$s order? Use Table $13\mathrm{.}4.$

TABLE $13\mathrm{.}4$

The Distribution $,$ F$($Q$),$ and Expected Inventory, I$($Q$),$ Functions for the Standard Normal Distribution

Function

z F$($z$)$ I$($z$)$

$-4\mathrm{.}00\mathrm{.}00000\mathrm{.}0000$

$-3\mathrm{.}90\mathrm{.}00000\mathrm{.}0000$

$-3\mathrm{.}80\mathrm{.}00010\mathrm{.}0000$

$-3\mathrm{.}70\mathrm{.}00010\mathrm{.}0000$

$-3\mathrm{.}60\mathrm{.}00020\mathrm{.}0000$

$-3\mathrm{.}50\mathrm{.}00020\mathrm{.}0001$

$-3\mathrm{.}40\mathrm{.}00030\mathrm{.}0001$

$-3\mathrm{.}30\mathrm{.}00050\mathrm{.}0001$

$-3\mathrm{.}20\mathrm{.}00070\mathrm{.}0002$

$-3\mathrm{.}10\mathrm{.}00100\mathrm{.}0003$

$-3\mathrm{.}00\mathrm{.}00130\mathrm{.}0004$

$-2\mathrm{.}90\mathrm{.}00190\mathrm{.}0005$

$-2\mathrm{.}80\mathrm{.}00260\mathrm{.}0008$

$-2\mathrm{.}70\mathrm{.}00350\mathrm{.}0011$

$-2\mathrm{.}60\mathrm{.}00470\mathrm{.}0015$

$-2\mathrm{.}50\mathrm{.}00620\mathrm{.}0020$

$-2\mathrm{.}40\mathrm{.}00820\mathrm{.}0027$

$-2\mathrm{.}30\mathrm{.}01070\mathrm{.}0037$

$-2\mathrm{.}20\mathrm{.}01390\mathrm{.}0049$

$-2\mathrm{.}10\mathrm{.}01790\mathrm{.}0065$

$-2\mathrm{.}00\mathrm{.}02280\mathrm{.}0085$

$-1\mathrm{.}90\mathrm{.}02870\mathrm{.}0111$

$-1\mathrm{.}80\mathrm{.}03590\mathrm{.}0143$

$-1\mathrm{.}70\mathrm{.}04460\mathrm{.}0183$

$-1\mathrm{.}60\mathrm{.}05480\mathrm{.}0232$

$-1\mathrm{.}50\mathrm{.}06680\mathrm{.}0293$

$-1\mathrm{.}40\mathrm{.}08080\mathrm{.}0367$

$-1\mathrm{.}30\mathrm{.}09680\mathrm{.}0455$

$-1\mathrm{.}20\mathrm{.}11510\mathrm{.}0561$

$-$l$\mathrm{.}10\mathrm{.}13570\mathrm{.}0686$

$-1\mathrm{.}00\mathrm{.}15870\mathrm{.}0833$

$-0\mathrm{.}90\mathrm{.}18410\mathrm{.}1004$

$-0\mathrm{.}80\mathrm{.}21190\mathrm{.}1202$

$-0\mathrm{.}70\mathrm{.}24200\mathrm{.}1429$

$-0\mathrm{.}60\mathrm{.}27430\mathrm{.}1687$

$-0\mathrm{.}50\mathrm{.}30850\mathrm{.}1978$

$-0\mathrm{.}40\mathrm{.}34460\mathrm{.}2304$

$-0\mathrm{.}30\mathrm{.}38210\mathrm{.}2668$

$-0\mathrm{.}20\mathrm{.}42070\mathrm{.}3069$

$-0\mathrm{.}10\mathrm{.}46020\mathrm{.}3509$

$0\mathrm{.}00\mathrm{.}50000\mathrm{.}3989$

$0\mathrm{.}10\mathrm{.}53980\mathrm{.}4509$

$0\mathrm{.}20\mathrm{.}57930\mathrm{.}5069$

$0\mathrm{.}30\mathrm{.}61790\mathrm{.}5668$

$0\mathrm{.}40\mathrm{.}65540\mathrm{.}6304$

$0\mathrm{.}50\mathrm{.}69150\mathrm{.}6978$

$0\mathrm{.}60\mathrm{.}72570\mathrm{.}7687$

$0\mathrm{.}70\mathrm{.}75800\mathrm{.}8429$

$0\mathrm{.}80\mathrm{.}78810\mathrm{.}9202$

$0\mathrm{.}90\mathrm{.}81591\mathrm{.}0004$

$1\mathrm{.}00\mathrm{.}84131\mathrm{.}0833$

$1\mathrm{.}10\mathrm{.}86431\mathrm{.}1686$

$1\mathrm{.}20\mathrm{.}88491\mathrm{.}2561$

$1\mathrm{.}30\mathrm{.}90321\mathrm{.}3455$

$1\mathrm{.}40\mathrm{.}91921\mathrm{.}4367$

$1\mathrm{.}50\mathrm{.}93321\mathrm{.}5293$

$1\mathrm{.}60\mathrm{.}94521\mathrm{.}6232$

$1\mathrm{.}70\mathrm{.}95541\mathrm{.}7183$

$1\mathrm{.}80\mathrm{.}96411\mathrm{.}8143$

$1\mathrm{.}90\mathrm{.}97131\mathrm{.}9111$

$2\mathrm{.}00\mathrm{.}97722\mathrm{.}0085$

$2\mathrm{.}10\mathrm{.}98212\mathrm{.}1065$

$2\mathrm{.}20\mathrm{.}98612\mathrm{.}2049$

$2\mathrm{.}30\mathrm{.}98932\mathrm{.}3037$

$2\mathrm{.}40\mathrm{.}99182\mathrm{.}4027$

$2\mathrm{.}50\mathrm{.}99382\mathrm{.}5020$

$2\mathrm{.}60\mathrm{.}99532\mathrm{.}6015$

$2\mathrm{.}70\mathrm{.}99652\mathrm{.}7011$

$2\mathrm{.}80\mathrm{.}99742\mathrm{.}8008$

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