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Suppose that you are interested in determining the cost of tuition and fees at universities in the United States. Suppose that we (unrealisitically) know that the standard deviation in all tuition costs is $1000 per semester. You decide to take a sample and dtermine a 90% confidence interval for the mean cost, and you want your estimate to be accurate to within $500. What is the minimum size necessary to construct this confidence interval?
A machine produces parts with lengths that are normally distributed with ? = 0.59. A sample of 19 parts has a mean length of 76.26.
what value is expected on average for the f-ratio in anova when the null hypothesis is true. explain why this value is
What is the approximate percentage of scores that were between 380 and 580 and what is the approximate percentage of scores that were above 680?
Calculate the profit earned/loss incurred on; a high performance tire that exceeds 40,000 miles, a high performance tire that does not exceed 40,000 miles.
How accurately do the exam scores predict final grades? Compute the standard error of the estimate.
Choose the most reasonable measurement. Tyrell read the nutrition label on the back of his frozen dinner. Choose the most reasonable estimate for the amount of sodium in the dinner.
Identify any points that lie outside a 95% Confidence Level (Mean plus or minus two standard deviations) using the above winter mean and standard deviation. Explain your answer. Graph the data.
The Martin Company is in the process of planning for new production facilities and developing a more efficient distribution system design. At present, it has one plant at St.Louis with a capacity of 30000 units.
In the following study, participants were randomly assigned to receive humanistic therapy, psychodynamic therapy, or behavioral therapy for their depression.
Assume that a 95% confidence interval for the mean is 14.5
let x1...x25 be a random sample from a normal distribution with mean mu and variance 100. the null hypothesis h0 mu50
computing the probability values using normal distribution.the mean price of new homes from a sample of houses is
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