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Question: A new elevator in a large hotel is designed to carry about 30 people, with a total weight of up to 5000 ibs. More than 5000ibs. Overloads the elevator. The average weight of guest, at this hotel is 150 ibs, with an SD of 55 iibs. Supposes 30 of the hotel's guests get into the elevator. Assuming the weights of these guests are independent random variables, what is the chance of overloading the elevator? Give your approximate answer as a decimal.
if, indeed, the mean weight for new born elephant calves is 225 pounds with a standard deviation of 45 pounds, what is the probability of a newborn weighing at least 384 pounds?
You are working on an analysis of your company's current cost structure reviewing the various fixed and variable costs within your firm. Your objective is to maximize your firms profit.
in terms of hypotheses one of the major differences between the t-test and anova is thata. ha is never defined with
Recalls. In a car rental company s fleet, 70% of the cars are American brands, 20% are Japanese, and the rest are German. The company notes that manufacturers.
The verbal subtest of the Graduate Record Examination (GRE) has a population mean of 500 and a population standard deviation of 100 by design.
State the null and alternative hypotheses in terms of p.- Describe type I and type II errors in this context.- For a fixed sample size.
an american roulette wheel has 38 slots 18 are red 18 are black and 2 are green. let r be the number of spins until you
You put down a deposit of $5,000 (applied to the down payment) when the sales contract was signed. You also have these expenses: credit report, $70; appraisal fee, $110; title insurance premium, 1% of amount financed; title search, $225; and attor..
Do you go to church? The Gallup Poll plans to ask a random sample of adults whether they attended a religious service in the last 7 days.
Is there evidence that the change was successful in reducing the wait time? (use 0.05 level of significance)
If a popcorn kernel is randomly selected, what is the probability that it takes between 130 seconds to 170 seconds for the kernel to pop?
Let the random variable X represent the number of light bulbs selected that function properly (i.e., that are not defective). Define the appropriate probability density function for X. What is the probability space for the experiment?
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