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A trucking firm delivers appliances for a large retail operation. The packages (or crates) have a mean weight of 291 lb. and a variance of 2704. (Give your answers correct to four decimal places.)
(a) If a truck can carry 4100 lb. and 26 appliances need to be picked up, what is the probability that the 26 appliances will have an aggregate weight greater than the truck's capacity? Assume that the 26appliances represent a random sample.
(b) If the truck has a capacity of 7800 lb., what is the probability that it will be able to carry the entire lot of 26 appliances
Lead-time demand is 600 pounds. The standard deviation of lead time demand is 52 pounds. Supposing the lead time demand is normally distributed and that an acceptable risk of stocking out is 4%:
Standard deviation of 30 lb. Find the percentage of such weights between 190 lbs and 225 lbs. among 400 men aged 18 to 74, how many are expected to weigh between 190 lbs and 225 lb.
Letting μ be the mean composite satisfaction rating for the gaming console, we find that the test should be H o : μ ≤ 42 versus H a : μ > 42
The symphony sells raffle tickets each year to raise money. Assume they sell 2000 tickets and the tickets cost $100 each.
Determine the oucomes in the sample space, and construct a probability distribution table. Find the expected value of the following game.
Does the normal distribution yield a good approximation of the actual results?
The concessions manager at the Clemson vs. USC football game must decide whether to have the vendors sell sun visors or umbrellas. There is a 30% chance of rain
you are told that the population of the scores of iq test takers is normally distributed has a population mean of 100
the behavior of series of components play a huge role in scientific and engineering reliability problems. the
The random variable x represents the number of boys in a family of three children. Assuming that boys and girls are equally likely, find the mean and standard deviation for the random variable x.
One measure of the overall sampling error in the entire distribution of sample means is the
If you are told a population has a mean of 25 and a variance of 0, what must you conclude? a) Someone has made a mistake. b) There is only one element in the population.
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