Stattistics problem

CRISTY11

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Nov 29, 2011
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Assume that you own a small factory. A critical piece of machinery in your factory will need to be replacedin 200 days. If the machinery does not show up on time, you will need to shut down until it arrives. This might cause you to permanately lose customers.When you order the part you wil need to pay the $500,000 in advance. That is a lot of money for your small business. If you keep the money in the bank, it will earn interest each month. If you spend the money now, it will leave you with very litte money on hand, and you might have to borrow money to make payroll. You know from past experience that the delivery times are normally distributed with a mean of 60 days and a standard deviation of 15 days. When should you order the part? It is your company, but you must write up an explanation for your actions that convinces your investors that your actions are best. (Unfortunately, the investors cannot afford $500,000 at this time.)


NOTE: There are many right answers to this question. Grading will be based on your explanations and your defense of your choice. .


Be sure to include



1) Explain to the investors why you cannot be 100% sure that the part arrives in time.
2) How sure do you want to be that the machinery arrives on time? Explain your answer clearly, and explain why you chose that figure. Remember, you need to confince your investors. What do you want the probability to be that the part shows up on time?
(the answer here cannot be 50%)
3) Based on how sure you want to be, calculate when you need to order the part. Explain all calculations clearly, because your investors need to understand what you did. They are bright and understand math, but you will have to explain the statistics to them. This needs to include z-scores and a calculation of x based on z.


Can anyone help me with this pleaaase?
I would really appreciate it:)
 
Assume that you own a small factory. A critical piece of machinery in your factory will need to be replacedin 200 days. If the machinery does not show up on time, you will need to shut down until it arrives. This might cause you to permanately lose customers.When you order the part you wil need to pay the $500,000 in advance. That is a lot of money for your small business. If you keep the money in the bank, it will earn interest each month. If you spend the money now, it will leave you with very litte money on hand, and you might have to borrow money to make payroll. You know from past experience that the delivery times are normally distributed with a mean of 60 days and a standard deviation of 15 days. When should you order the part? It is your company, but you must write up an explanation for your actions that convinces your investors that your actions are best. (Unfortunately, the investors cannot afford $500,000 at this time.)


NOTE: There are many right answers to this question. Grading will be based on your explanations and your defense of your choice. .


Be sure to include



1) Explain to the investors why you cannot be 100% sure that the part arrives in time.
2) How sure do you want to be that the machinery arrives on time? Explain your answer clearly, and explain why you chose that figure. Remember, you need to confince your investors. What do you want the probability to be that the part shows up on time?
(the answer here cannot be 50%)
3) Based on how sure you want to be, calculate when you need to order the part. Explain all calculations clearly, because your investors need to understand what you did. They are bright and understand math, but you will have to explain the statistics to them. This needs to include z-scores and a calculation of x based on z.


Can anyone help me with this pleaaase?
I would really appreciate it:)

Well... that is a large question... :?

1) I would use standard deviation to explain that.
2) That should be high, and seeing how much money is involved, I would pick a 90%. This I believe is safe enough, but also not too high as to also get some interest from the bank.
3) I guess you can find this out? You need to find the longest time which should fall somewhere around 60+15 = 75~90 days (mean + 1~2 standard deviations)
 
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