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The Poisson distribution may also be used to find approximate binomial probabilities when nis large and p is small, by letting μ be np. This method provides for faster calculations of probabilities of rare events such as exotic diseases. For example, assume the incidence rate (proportion in the population) of a certain blood disease is known to be 1%. The probability of getting exactly seven cases in a random sample of 500, where μ = np = (0.01)(500) = 5, is
P(Y = 7) = (57 e-5)/7! = 0.1044.
Suppose the incidence of another blood disease is 0.015. What is the probability of getting no occurrences of the disease in a random sample of 200? (Remember that 0! = 1.)
Here is a practice problem to solve for hypothesis testing. Refer to the handout posted in Files for additional information about the steps in hypothesis
What is operation management fully explain in one page.- What is forecasting and forecasts based on timeseries data explain it.
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Minimum number of workstations that can be formed Identification of tasks in each work station using a combination of algorithmic and heuristic approaches The efficiency of the line
A study is conducted to estimate survival in patients following kidney transplant. Key factors that adversely affect success of the transplant include advanced age and diabetes. This study involves 25 participants who are 65 years of age and older..
If a household is known to have an income of at least $20,000, what is the probability that its annual income is in the $60,000-under $80,000 category?
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