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A sign at a university Campus elevator indicates a 16-person limit as well as a weight limit of 2500 pounds. Suppose that the weights of students, faculty, and staff are approximately normally distributed with a mean weight of 150 pounds and a standard deviation of 40 pounds. What is the probability that a random sample of 16 people in the elevator will exceed the weight limit?
(Clue: think about what exceeding the weight limit would tell you about the sample average across these 16 people).
Given the following data, calculate the EMV for each investment alternative. Which is best based on the EMVs you calculated?
Does this data provide evidence at the .05 significance level that there is a difference in the proportion of humorous ads in British versus American trade magazines?
a random sample of n 400 measurements is drawn from a binomial population with probability of success .21. give the
a company that manufactures video cameras produces a basic model and a deluxe model. over the past year 30 of the
Is there sufficient evidence to reject the claim that the mean annual income of teachers in state of Utah is greater than or equal to the mean annual income of teachers in Oregon? Perform a one-tailed test.
If we reject Ho, then there is evidence to say that there ISan association between gender and candidate preference
The sample mean was found to be 194 pounds with a standard deviation of 11.2 pounds. What percentage of men have weights between 175 and 2235 pounds?
A zircon semiconductor is critical to the operation of a superconductor and must be replaced immediately upon failure. Its expected lifetime is 100 hrs.
Its variable cost per pound of fertilizer is .15. Evergreen sells fertilizer for .40 per pound. Determine the monthly break-even volume for the company.
The manager of a local gym has determined that the length of time patrons spend at the gym is a normally distributed variable with a mean of 80 minutes.
With a major expansion planned, Judy projects sales next year to increase to 1,200 radials. What will the demand be each season? Please show work (formulas).
Entire commercial airline industry, consider a random sample of 200 flights. What is the expected number that will arrive on time? What is the standard deviation of this distribution.
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