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An Inventory Model - A hot dog vendor operates a stand where the number of hot dogs he sells each day is modeled as a Poisson random variable with a mean value of 100.
Let represent the number of hot dogs the vendor has at the beginning of each day.
At the end of the day, if his inventory of hot dogs on hand falls below some minimum value, α , then the vendor goes out that evening and purchses enough hot dogs to bring the total of his inventory to ß Write an equation to describe the elements of the transition probability matrix, pi j for this inventory process.
We would like to collect a balanced RSS of 24 observations from a population. List all of the (set size, cycle size) combinations that could be used to obtain this balanced RSS of size 24.
Discuss the various behaviors or actions of team members related to functional culture that must have led to the team leader's conclusion. Explain your rationale for the behaviors or actions you identified.
1.a researcher wants to know if calcium is an effective treatment for lowering blood pressure. he assigns one randomly
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you arrive to a trolly stop just missing the last trolly. the time until the next rolly arrival is modeled as a u46
The manager of Sandy Corporation wants to determine whether or not the type of work schedule for her employees has any effect on their productivity. She has selected 15 production employees at random and then randomly assigned 5 employees to each ..
a. What is the probability that a computer will fail within 12 months? b. If the company gives a warranty period of 12 months, what proportion of computers will fail during the warranty period?
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Determine the regression equation for predicting scholarly productivity (Y) from institutional comprehensiveness (X). For an institution with a comprehensiveness score of 175, predict the psychology department's scholarly productivity score
Customers arrive to the company at a rate, on average, of one per hour with a Poisson distribution. The company is staffed by a single individual(the owner) who takes on average 30 minutes with each customer with a standard deviation of 15 minute..
Calculate the limits within which the weight of the packets should lie assuming that the machine is not been classified as faulty.
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