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Let S = {a, b, c} be a sample space.
(a) Suppose P is a probability on S and that you know P({a}) = 0.2 and P({a, b}) = 0.5 Then what are P({b}) and P({c})? Explain how you know.
(b) Is it possible to have a probability on S such that P({a}) = 0.4, P({b}) = 0.5, and P({c}) = 0.2? Explain your answer
The mean number of cargo ships that arrive at a port is 3 per day. The port has staff and facilities to handle up to 6 ships in a day. Using the Poisson distribution, find the probability that, on a given day,
In a sample of 50 members of a local health club you find that 12 of these members meet weekly with a physical fitness trainer and that the average body mass index (BMI) of these 12 members is less than the average BMI of the other 38 club members..
Tom Smith wants to test the hypothesis that adult men have a mean weight that is greater than 150 pounds. Tom surveys the adult male members of his family and obtains 40 sample values
Determine the critical value, z0, to test the claim about the population proportion p
Elizabeth Bailey is the owner and general manager of Princess Brides, which provides a wedding planning service in Southwest Louisiana.
Using the emperical rule solve the following problems for a distribution with a mean of 20 and a stardard diviation of 5. At least what percentage of the values will fall between 15 and 25.
f x has a normal distribution with mean µ=15 and standard deviation σ= 3, describe the distribution of x values for sample size n, where n = 4, n = 16, and n = 100. How do the x distributions compare for the various sample sizes?
What percentage of the workers is paying between $1800 and $2400 per year toward the family health coverage premium? What is the probability that a worker pays more than $2500 towards the family health coverage premium?
A researcher claims that the average age of people who buy lottery tickets is 70. A sample of 30 is selected and their ages are recorded as shown below.
Describe what is measured by the estimated standard error in the bottom of the independent-measures t statistics.
Suppose the number of tickets written per day follows a Poisson distribution with a mean of 6.5 tickets per day. Interpret the value of the mean. The mean has no interpretation since 0.5 ticket can never be written.
If you are using the method of least squares for fitting trends in an annual time series containing 25 consecutive yearly values,
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