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1. The daily demand for milk (in gallons) at Gillis Grocery is N(1,000, 100). How many gallons must be in stock at the beginning of the day if Gillis is to have only a 5% chance of running out of milk by the end of the day?
2. Before burning out, a light bulb gives X hours of light, where X is N(500, 400). If we have 3 bulbs, what is the probability that they will give a total of at least 1,460 hours of light?
Test at the 5% level of significance whether the true mean time it takes for luggage to reach the travelers is less than 17 minutes. Determine the null hypothesis.
A contractor is considering a sale that promises a profit of $32,000 with a probability of 0.7 or a loss (due to bad weather, strikes, and such) of $9000 with a probability of 0.3. What is the expected profit?
Which of the following would be most helpful in assessing the practical significance of a test of hypotheses about a proportion?
What is the probability that the total number of customers who enter the supermarket in one day is greater than 11700?
Why do people buy lottery tickets for a grand prize of 20 million dollars when the probability of winning the grand prize is 1 in 175 million?
In a study, results were presented for a sample of 63 men who were asked to report their actual weight and their ideal weight. The mean difference between actual and ideal weight was 2.48 pounds
A box contains 3 blue marbles and two red marbles. If two marbles are drawn randomly and without replacement, find the probability that (a) at least one of the marbles is blue
The average fill volume from a random sample of 49 bottles of an energy drink is 32.8 ounces; the standard deviation among the individual fill volumes is3.5 ounces. Determine a 95 percent confidence interval for the mean fill weight.
What is the difference between a z-test and a t-test? When estimating population mean, how would you determine the optimal sample size when the maximum error limit is known
Tompkins Associates reports that the mean clear height for a Class A warehouse in the Unites States is 22 feet. Suppose clear heights are normally distributed and that the standard deviation is 4 feet.
Following a lognormal distribution with a mean of 3000 rpm and std deviation of 0.87, what if the boss want a 5% chance of HW failure before selling, how often would I have to replace this hardware ?
Prepare a plan for implementing Hyper-V as a solution for your organization. Provide a rationale for the plan decisions.
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