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Researcher Seth B. Young measured the walking speed of travelers in San Francisco International Airport and Cleveland Hopkins International Airport. The standard deviation speed of the 260 travelers who were departing was 53 feet per minute. The standard deviation speed of the 269 travelers who were arriving was 34 feet per minute. Assuming walking speed is normally distributed, does the evidence suggest the standard deviation walking speed is different between the two groups? Use the ? = 0.05 level of significance.
Regression - What factors predict duration of dyspnea in elders with heart failure?
a pharmaceutical company conducted a study to evaluate the effect of an allergy relief medicine 250 patients with
The amounts of money won by the top ten finishers in a famous car race are listed below. What was the mean prize earned? Round your answer to the nearest cents.
Based on this information, what is the probability that a customer will spend more than 9 minutes in the record store?
this info given - breast-feeding mothers secrete calcium into their milk. some of the calcium may come from their bones
Find the test statistic value for two mean tests using equal variance formula.
Telephone calls enter a college switchboard at a mean rate of 2/3 call per minute according to Poisson process. Let X denote the waiting time until the tenth call arrives. what are the moment-generating function, mean and variance of X?
suppose that intrests rates offered for refinancing are normally distributed with a mean of 3.0 and standard deviation
At the .025 significance level, can we conclude that less than 88 percent of the orders are delivered in less than 10 minutes?
Which of these best approximates the probability that a flight will land between 40 and 45 minutes late? .071 .284 .375 .643 .929.
A sample of 15 workers reveal the following minutes: 29, 38, 38, 33, 38, 21, 45, 34, 40, 37, 42, 30, 29, 35. Develop 98% confidence interval for the population mean. Interpret your result.
he standard deviation of the sample proprortion is 5.3%. How large a sample (to the nearest person) would be required to reduce this standard deviation to 3.7%?
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