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A person has purchased 5 of 1,000 tickets sold in a certain raffle. To determine the 10 prizewinners, 10 tickets are drawn at random and without replacement.
(a) compute the probability that this person wins exactly one prize.(b) compute the probability that he wins at least one prize.
Hint: First compute the probability that he does not win a prize.
The diameters of oranges in a certain orchard are normally distributed with a mean of 5.26 inches and a standard deviation of 0.50 inches.
An automobile assembly line operation has a scheduled mean completion time, mean, of 12.8 minutes. The standard deviation of completion times is 1.2 minutes.
For many years, TV executives used the guideline that 30 percent of the audiences were watching each of the prime-time networks and the 10 percent were watching cable stations on a weekday night. A random sample of 500 viewers in the Tampa - St.
The personnel director of Cander Machine Products is investigating perfectionism on the job. A test designed to measure perfectionism was administered to a random sample of 18 employees.
Determine the highest and lowest scores and calculate the range. Determine an appropriate interval size (i) for grouping data. Draw a frequency polygon from the data. Are the data normal or skewed?
How long do new batteries last on a camping trip? A random sample of n1 = 42 small camp flashlights were installed with brand I batteries and left on until the batteries failed.
Consider the following stemplot. The mean of the data represented in this stemplot ?
The chi-square goodness of fit test can be used when we:
It has been determined empiracally that for a certain egg producer, the number of cracked or broken eggs X, in a randomly slected box containing six eggs, follows approximately the distribution given in the table below:
An accounting professor at a state university in Vermont recently gave a three-question multiple-choice quiz. What is the probability of getting a perfect score if you were forced to guess at each question?
A population of scores forms a normal distribution with a mean of μ = 40 and a standard deviation of σ =12.
Explain and give examples of how the particular outcomes of a study can suggest if a particular threat is likely to have been present.
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