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Among 5000 items of randomly selected baggage handled by American Airlines, 22 were lost. Among 4000 items of randomly selected baggage handled by Delta Airlines, 15 were lost. Use the sample data to construct a 95% confidence interval estimate of the difference between the two rates of lost baggage. Does there appear to be a difference?
Determine regression line for predicting January temperature from latitude.
ABC Corporation of California publishes a variety of statistics, including the number of individuals who got a new job during the past 12 months and the mean length of time the individuals have been on the job.
The length of a particular telemarketing phone call, x, has an exponential distribution with mean equal to 1.5 minutes.
Find out correlation coefficient r, If student take 35 minutes to complete exam, what is his predicted score.
Demand for a popular athletic shoe is nearly constant at 800 pairs per week for a regional division of a national retailer. The cost per pair is $54.
A prison official wants to estimate the proportion of cases of recidivism. In examining 250 convicts there are 65 cases. with 99% confidence interval what is the range? How do you figure this type of problem?
Downs and Abwender (2002) evaluated soccer players and swimmers to determine whether the routine blows to the head experienced by soccer players produced long-term neurological deficits.
The profit for product 1 is $6 per unit, and the profit for product 2 is $4 per unit. Solve this model by using graphical analysis.
The speed limit on Interstate 75 around Findlay, Ohio, is 65 mph. On a clear day with no construction, the mean speed of automobiles was measured at 63 mph with a standard deviation of 8 mph.
The US Mint selects ten pennies from the production line to test the hypothesis that the mean weight of each penny is 5 grams. The normally-distributed weights (in grams) of these pennies are as follows:
Assume that the mean useful life of a particular lightbulb is 2,000 hours and is normally distributed with a standard deviation of 300 hours. Determine the percentage of lightbulbs that will last 2,300 hours or longer.
Determine the probability that pregnancy will (a) last more than 300 days; (b) less than 240 days; (c) between 250 and 282 days.
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