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A car leasing firm's records indicate that the mean number of miles driven annually in its cars has been about 12750 miles. The firm suspects that this number has decreased this past year. Suppose that the firm wishes to choose a small sample of driving distances from the past year and carry out a hypothesis test for its suspicion. State the null hypothesis and the alternative hypothesis that it would use for this test.Ho :H1 :
Testing for a linear correlation. Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from the table below using a=0.05.
If the researcher deems the data to be statistically significant, which of the following is true with respect to a conclusion reached?
What are the requirements that must be met for a regression analysis? What happens if these requirements are violated? Why is the analysis of residuals important?
At the .10 significance level, can we conclude that less than 88 percent of the orders are delivered in less than 10 minutes. What is the decision rule?
A shipment of 500 dolls is received by Panda Importers. The quality control manager selects a random sample of 75 to test. Five are bound to be defective. Construct a 90 percent confidence interval for the population proportion of defective dolls ..
Critically illustrate out the difference between a histogram and a dot plot. When might a dot plot be better than a histogram?
Describe what you find then produce an ANOVA for the problem.
A sociologist wants to determine if the life expectancy of people in Africa is less than the life expectancy of people in Asia.
The concessions manager at the Clemson vs. USC football game must decide whether to have the vendors sell sun visors or umbrellas. There is a 30% chance of rain
Developing project network using AOA that determines completion times.
An electric power trading company has an option to buy 1,000,000 terawatts of electricity from a producer for $10 per terawatt. Other electric power trading companies have received this option and the company knows a decision must be made quickly.
A nationwide real estate company claims that its average time to sell a home is 57 days. Suppose it is known that the standard deviation of selling times is 12.3 days and that selling times are normally distributed.
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