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The number of rescue calls received by a rescue squad in a city follows a Poisson distribution with µ = 2.83 per day. The squad can handle at most four calls a day.
a. What is the probability that the squad will be able to handle all the calls on a particular day?
b. The squad wants to have at least 95% confidence of being able to handle all the calls received in a day. At least how many calls a day should the squad be prepared for?
c. Assuming that the squad can handle at most four calls a day, what is the largest value of µ that would yield 95% confidence that the squad can handle all calls?
A flour mill produces flour in small bags before distributing them to wholesalers. The average weight of each bags is 8 kg with a standard deviation of 0.5 kg.
scores on a certain intelligence test for children between ages 13 and 15 years are approximately normally distributed
Let x be amount of May rainfall in local area, and suppose that x is uniformly distributed over interval three to six inches. Write down the formula for probability curve of x.
Did the support representative explain the process for resolving your problem? Did the support representative keep you informed about the status of progress in resolving your problem?
collect cumulative data for all u.s. major carriers for the time period of january 2006 through december 2012. the data
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what is the probability that a well shuffled deck will produce a straight flush five cards of one suit in order akqj10
The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context.
Application of simple linear regression analysis to the estimation of a demand equation has yielded the following
question 1 if an unbiased coin is flipped 3 times what is the probability of getting exactly two heads?question 2 what
An independent financial advisor claims an average rate of return, μ, on a particular investment is at least 7%. In testing her claim, the correct pair of hypotheses is:
During a certain week the mean price of gas was $2.709 per gallon. A random sample of 35 gas stations is drawn from this population. What is the probability that the mean price for the sample was $2.697 and $2.716 that week? Assume o =$0.046
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