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Macintosh users make up about 5% of all computer users. A computer training school that wants to attract Macintosh users mails an advertising flyer to 25,000 computer users. If the mailing list can be considered a random sample of the population, what is the chance that at least 1245 Macintosh users will receive the flyer?
The average age of the students in the sample was 23 with a standard deviation of 3.5: a) Formulate the hypotheses for this problem.
Utlizing binomial approximation to normal finding the normal model. A grower claims that only 13 percent of the strawberries he grows are unsatisfactory.
Determine the most economical monthly shipping schedule. Provide a table showing the routes and total costs.
Suppose a restaurant business succeeds 60% of the time. Suppose that there are three such restaurants open in your city. When they don't compete with one another, it is reasonable to believe that their relative success would be independent.
Best Electronics, Inc. offers a "no hassle" returns policy. The number of items returned per day follows the normal distribution. The mean number of customer returns is 10.4 per day and the standard deviation is 2.3 per day.
If two registered voters are selected at random, what is the probability exactly one voter is a democrat?
Can it be concluded that, X, number of boys in two-child families of preeminent scholars, is binomiallydistributed? Let α=0.05.
Sarah is a 60 year old Anglo female in reasonably good health. She wants to take out a $50,000 term life insurance policy until she is 65.
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
A basketball player has a history of making 75% of the foul shots taken during games. The player gets two shots at the foul line.
Find out the sample size raised by mean also standard deviation, a sampling distribution may approach among which of the following values.
A sample of 10 urgent and non-urgent patients was conducted to determine average wait time. The hospital wants to be sure that urgent patients do not wait as long as non-urgent patients. The following hypotheses have been formulated.
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