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picture1_Excel Sample Sheet 32913 | Exercises 6 On Normal Distribution


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File: Excel Sample Sheet 32913 | Exercises 6 On Normal Distribution
sheet 1 atm supermarket atm a chain of supermarkets has learned from the collection of data over several months that the daily weekday draw from the cash machine at its ...

icon picture XLS Filetype Excel XLS | Posted on 09 Aug 2022 | 3 years ago
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Sheet 1: ATM
Supermarket ATM








A chain of supermarkets has learned (from the collection of data over several






months) that the daily weekday draw from the cash machine at its Tel Aviv store






is normally distributed (and varies independently from day to day), with a mean






of $15,000 and a standard deviation of $6,000.














What is the probability that the Monday draw exceeds $18,000?














They stock the cash machine on Mondays and Fridays (four days apart). On






Monday, they put $75,000 in the machine. How likely is it that the machine will






run dry before the Friday refill?






















$15,000 mean daily draw





$6,000 std dev of daily draw













$18,000 Monday limit





30.85% Pr( Monday draw over limit )













4 k (days before restocking)





$60,000 mean over k days





$12,000 standard deviation over k days





$75,000 limit





10.56% Pr( k-day draw is over limit )





















Via simulation:














$18,359 Monday draw





$20,814 Tuesday draw





$17,108 Wednesday draw





$5,803 Thursday draw













$62,084 four-day draw













0 is the four-day draw over $75,000?













$B$35 $B$37 monitored cell




$59,986 10.56% mean




$11,968 30.73% sample standard deviation




$6,858 0 minimum




$112,838 1 maximum




100,000 100,000 number of simulation runs












$372 0.07% margin of error (95% confidence)





Sheet 2: Feingeld
Feingeld Industries








Once a year, in December, Feingeld Industries prints a product catalog for the






coming year. The press run (done by an outside firm) costs them $7,000 (for






setup), plus $10 per catalog. (At this point, they throw away any old catalogs.)






Marketing estimates a need for 2000 catalogs over the next year, with a forecast






standard error of 200 (i.e., one standard-deviation's-worth of uncertainty in the






forecast is 200 units); actual demand is normally distributed. They also estimate






a cost of $50 for each catalog request which cannot be immediately fulfilled.














What is their “critical fractile ” for product catalogs?






How many catalogs should they print this December?






















$7,000 setup cost; irrevelant to problem





$10 variable cost per catalog













2000 mean demand for next year





200 standard deviation of demand













$50 cost of leaving a catalog order unfilled










Assuming that, when a request cannot be immediately fulfilled, it

$10 per-unit cost of being "over"


is put on temporary hold and filled out of the next-December

$50 per-unit cost of being "under"

publication run, then - one way or the other - $10 will be spent






fulfilling that request. The net cost difference between fulfilling it

83.3% critical fractile


immediately, and fulfilling it after a delay, is $50.

2193 number of catalogs to print










If requests which can't be fulfilled immediately are never fulfilled,






the cost of being "under" would be $50-$10 = $40.














Similarly, if fulfilling a delayed request with next-year's edition






cancels out a request for that addition, the cost of being "under"






is only $40.














Accounting is a non-trivial subject!


Sheet 3: Newsstand sales
Demand for weekly newspaper








Weekly newsstand sales of a local (weekly, nonsubscription) newspaper are






normally distributed, with a mean of 6,000 and a standard deviation of 700.














How likely is it that a press run of 7,000 copies will sell out?














What total monthly sales (4 issues) could the newspaper publisher guarantee to






a regular advertiser, while having a 90% chance of meeting the guarantee?






















6,000 mean weekly sales





700 standard deviation













7,000 press run





7.66% Pr( press run insufficient )













4 issues / month





24,000 mean monthly sales





1,400 monthly standard deviation





90% Pr( meet guarantee )





22,206 sales that can be guaranteed






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...Sheet atm supermarket a chain of supermarkets has learned from the collection data over several months that daily weekday draw cash machine at its tel aviv store is normally distributed and varies independently day to with mean standard deviation what probability monday exceeds they stock on mondays fridays four days apart put in how likely it will run dry before friday refill std dev limit pr k restocking kday via simulation tuesday wednesday thursday fourday b monitored cell sample minimum maximum number runs margin error confidence feingeld industries once year december prints product catalog for coming press done by an outside firm costs them setup plus per this point throw away any old catalogs marketing estimates need next forecast ie one standarddeviation sworth uncertainty units actual demand also estimate cost each request which cannot be immediately fulfilled their ldquo critical fractile rdquo many should print irrevelant problem variable leaving order unfilled assuming when...

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