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An airline, believing that 6% of passengers fail to show for flights, overbooks (sells more tickets than there are seats). Suppose that for a particular flight involving a jumbo-jet with 265 seats, the airline sells 278 tickets. What is the probability that the airline will not have enough seats for all the ticket holders who show for the flight?
According to the U.S National Center for Health Statistics, the mean height for adult American males is mu = 65.5 inches. Assume the heights are normally distributed with standard deviation of sigma = 3.2.
What characteristic (or property of random samples) could be observed during the sampling process?
Detremine the mean, standard deviation, and variance for this frequency distribution.
The average for 14 cross-country runners is 172 mg/dl with a standard deviation of 41 mg/dl. Solve using the Traditional Method. Find the p-value for your test statistic. Use an α = 0.05.
Assume that a 95% confidence interval for the mean is 14.5
At other casinos, the dealer is required to take a hit on soft 17, but must stay on all other hands with a value of 17, 18, 19, 20, or 21. For this situation, determine the probability of the ending value of the dealer's hand.
Test hypothesis that calories of two populations are equal. Illustrate all steps of the hypothesis testing process. Points will be deducted for missing parts.
At the .05 significance level, can we conclude that there is a difference in their mean times?
In multi-choice test, each question has four options. Students wil get 10 points for each correct answer; lose four points for each incorrect answer; and receive no points for unanswered questions.
The standard deviation is 2 pounds. If 15% of the suitcases are overweight, Determine the maximum weight allowed by the airline. Assume the variable is normally distributed.
The bank wishes to inform prospective customers that '99 times out 100 we can process your application in q working days'. Assuming that the normal distribution is still an adequate model, calculate q.
Assume that a decision maker wants to estimate a population proportion with 90% confidence and a margin of error of ±0.03. The decision maker has obtained a pilot sample of 10.
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