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An airplane has 100 seats but the airline company sold 107 tickets to their customers. Assume that the probability for each customer to show up is 92%. (a) What is the probability that someone will be bumped out?
How would you use the "margin of error" in estimating the percentage of all adults who think that Venetian blinds are the hardest to clean?
How should he go about taking samples to gather data for testing the hypotheses?
The front hall display case. The display case is 30 inches tall. Which scale will allow her to make the tallest model that will fit in the display case?
If IQ scores on a Stanford-Binet Test are basically distributed with the mean of 100 and a standard deviation of 15, then about how many people in a randomly chosen million would be expected to score at 160 or above?
From the given probability distribution finite the mean and standard deviation.
Discuss what happens to the width of the confidence interval as the confidence level is increased. Does this seem reasonable? Explain.
A shop manual gives 6.5 hours as the average time required to perform a 30,000 mile major maintenance service on a Porsche 911. Last month a mechanic performed 11 such services, and his required times were as follows.
Compute the coefficient of multiple determinations.
IS there any evidence that a freshman's chances to graduate may depend upon what kind of high school the student attended? Describe.
How large a sample is needed in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 6%?
a) Do a test to see if workers attitudes on this matter have changed using a 90% alpha. b) Explain to management what your findings are and what this suggests about future decisions vs work options.
Based on a scatter diagram, would you estimate the linear correlation coefficient to be:
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