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Test the claim that the average gasoline consumption per car in the United States is more than 7 liters per day. (We're going metric here!) Use the random sample here, which represents daily gasoline usage for one car:
Assume the population is normally distributed, and that X is unknown. Useα = 0.05 and determine the p-value for this sample.
What is the margin of error of your estimate of the population mean at a 95% confidence level? Construct a 95% confidence interval for the mean such expenses for all the students.
a popular retail store knows that the purchase amounts by its customers is a random variable that follows a normal
The publisher of popular financial periodical has decided to undertake a campaign in an effort to attract new subscribers.
Test the hypothesis that the median weight of NFL players is 250 pounds against the alter- native that it is greater at α = 0.05, using (a) the large sample sign test and (b) the Wilcoxon signed rank test.
find the minimum usual value and the maximum usual value whenn 270 and p frac14.a minimum 60.38maximum 74.62b minimum
A business finds the average cost required to complete a project is $416 with a standard deviation of $57. A sample of 36 project cost reports was selected at random.
Find the t-value such that the area in the right tail is 0.02 with 19 degrees of freedom.
find the 95 confidence interval for the variance of the weights of containers of motor oil if a sample of 14 containers
What is the arithmetic mean number of appointments she made per hour? What is the median number of appointments per hour? Write a brief report summarizing the findings.
what are the basic assumptions underlying multiple means test and why do they
A machine that fills quart orange juice bottles is set to fill them with 32.1 oz. If the actual contents of the cartons vary normally, with a standard deviation of .1 oz, what percent of the cartons contain less than a quart (32 oz).
Calculate trial control limits for the two charts and on the assumption that the R chart is in control, estimate the process standard deviation.
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