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Leaks occur in a pipeline at a mean rate of 4 leaks per 1,000 meters. In a 2,500-meter section of pipe,
(a) Using the Poisson approximation to the binomial find the probability of no leaks? (Round your answer to 6 decimal places.)
Probability
(b) Using the Poisson approximation to the binomial find the probability of three or more leaks? (Round your answer to 6 decimal places.)
(c) What is the expected number of leaks? (Round your answer to 1 decimal place.)
Expected number of leaks
The analyst concludes that the patients of physicians not participating in the program are older than the patients of participating physicians and therefore not a good comparison group for an observational study.
In a survey about satisfaction with local phone service, those respondents who rated their current service as excellent and those who rated it Poor-Very Poor were asked to classify their current local service provider. The results are given in the..
In a city, 65% of people drink coffee, 50% drink tea, and 25% both. What is the probability that a person chosen at random will drink at least one of coffee or tea? Will drink neither?
Suppose you bid $12000. What is the probability that your bid will be accepted?
Let (X, S, µ) and (Y, T , ν) be two measure spaces. Let { fn } be an orthonormal basis of L2(X, S, µ) and {gn } an orthonormal basis of L2(Y, T , ν). Show that the set of all functions hmn (x, y) := fm (x )gn (y) is an orthonormal basis of L2(X × ..
A sample of 400 tickets has 72% 1's. What percentage of the entire box do you expect to be 1's? What is the standard error of your estimate?
A bus company claims that the mean waiting time for a bus during rush hour in less than 7 minutes. A random sample of 20 waiting times has a mean of 5.2 minutes with a standard deviation of 2.1 minutes.
If Z = 1.96, s = 3, and E = 1, determine the correct sample size.
the assignment 4 real estate data set has information on prices that houses sold for in five different towns. we want
A random sample of 100 items is selected from a population of size 350. What is the probability that the sample mean will exceed 200 if the population means is 195 and the population standard deviation equals 20?
I could reach my target of 2800 at each of the 5 bookies, making my total profit for the month 14000, or hit my target of -12000 for a total loss of 60000 x 25% kickback, making the total loss for the month only 45000.
At the 0.05 significance level, can we conclude that equal numbers of Canadian retirees living in Hawaii came from each of the four cities?
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