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In analyzing the operating cost for a huge fleet of delivery trucks, a manager takes a sample mean and a sample standard deviation. Then he finds a 95% confidence interval for the mean cost to be $253 to $320. He reasons that this interval contains the mean operating cost for the fleet of delivery trucks because the sample mean is contained in the interval. Do you agree? How would you interpret this confidence interval?
Assume that you plan to use a significance level of ? = .05 to test the claim that p1 =p2. Use the given sample sizes and numbers of successes to find the pooled estimate p. Round to the nearest thousandth
What is the P-value of the test, assume the standard deviation is 3 years, a 95% confidence interval for the average time
Advertising coefficient is 200 and t stat is 1.75. Which of the following statements is an accurate interpretation of the situation when using an alpha of .10
"Do you believe that gun control laws which restrict the ability of Americans to protect their families should be eliminated?"
Using the levels of significance given below: What is the rejection point at α = .10 and indicate if you would accept or reject H o ? t .10 =
There are 25 students in a probability class. Assume that there are 365 days in each year, and that the birthrate is constant throughout the year.
The time needed to complete a final examination in a particular college course is normally distributed with a mean of 80 minutes and a standard deviation of 10 minutes.
Construct a 95 percent confidence interval for the true mean.
A standard IQ test has mean of 98 and a standard deviation of 16. We want to be 99% certain that we are 8 IQ points of the true mean. Determine the sample size.
A doctor prescribed the drug penicillin to three different patients as a form oLtreatment for an infectious disease. It is known from the general population that 20 out of every 100 individuals are allergic to the drug.
The heights of 40 randomly selected people and the heights of their mothers are recorded. Statdisk is used to run a linear correlation and regression analysis. The partial results are provided below:
What is the approximate probability that the total time spent on the calls will be greater than 98 minutes? Give your answer to four decimal places.
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