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How many Turtles do I need to have in Stock?
| April 19th, 2010 at 11:06:33 AM permalink | |
| RbStimers Member since: Apr 19, 2010 Threads: 1 Posts: 3 | I sell sculptures. On average, out of every 7 Sculpture sales, one will be a turtle the rest will be other types of sculpture, how many turtles do i need to have in stock if I want a 90% chance of not running out in the next 100 sculpture sales? Is there an equation or an approximation? I can do the reverse using the binomial theorem, i can find the probability of running out if i know how often they sell and how many I have but that's a clumsy method. |
| April 19th, 2010 at 12:23:08 PM permalink | |
| Doc Member since: Feb 27, 2010 Threads: 21 Posts: 2832 | So here's a non-math guy adding a question -- isn't it important to know the variability in your turtle sales? I mean, it could be that your typical experience is to go years without a turtle sale and then encounter a buyer who wants a large batch of them. It seems to me that could still give you 1/7 of your sales but have an impact on the 90% probability of no out-of-stock in the next 100 sales. If you assume that the buyer's selection of a sculpture is random, then I think your answer can be calculated, but I would probably do it wrong. |
| April 19th, 2010 at 12:43:20 PM permalink | |
| RbStimers Member since: Apr 19, 2010 Threads: 1 Posts: 3 | You are right, But my variability isn't that high. |
| April 19th, 2010 at 1:06:35 PM permalink | |
| Wizard Administrator Member since: Oct 14, 2009 Threads: 313 Posts: 6794 |
This is a good confidence interval kind of problem. In 100 sales the expected turtles sold will be 14.29. The standard deviation is sqrt(100*(1/7)*(6/7)) = 3.50. Let t be the number of turtles made, and x the number sold. pr(x<=t)=0.9 pr(x-14.29<=t-14.29)=0.9 pr((x-14.29)/3.5)<=(t-14.29)/3.5))=0.9 The left side of the inequality follows a standard normal distribution (mean of 0, standard deviation of 1). This next step takes an introductory statistics course, or some faith, to accept. (t-14.29)/3.5 = normsinv(0.9) This is the Excel function. (t-14.29)/3.5 = 1.282 t-14.29 = 4.4870 t = 18.77 Nobody is likely to buy 0.77 of a turtle statue, so I would round up to 19. According to the binomial distribution, the probability of selling 18 or less is 88.35%, and 19 or less is 92.74%. It's not whether you win or lose; it's whether or not you had a good bet. |
| April 19th, 2010 at 1:28:26 PM permalink | |
| DJTeddyBear Member since: Nov 2, 2009 Threads: 105 Posts: 5737 | While, mathematically that's a valid point, in the real world it's not. Unless I'm missing something, this is an item that is typically purchased one at time. That being the case, a single buyer that wants to purchase a large quantity will by predestined to do one or more of the following: - Go directly to a wholesaler, - Expect them to not be in stock, - Haggle over price and/or delivery time. Superstitions are silly, childish, irrational rituals, born out of fear of the unknown.
But how much does it cost to knock on wood? |
| April 19th, 2010 at 7:32:08 PM permalink | |
| RbStimers Member since: Apr 19, 2010 Threads: 1 Posts: 3 | THANK YOU SO MUCH! the numbers are just like my experience... Now I can quit being a combination of over stocked and under stocked all at the same time. I have way too many of my frequent sellers and way to little of my infrequent sellers, this is awesome! THANK YOU! |
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