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A random sample of 90 voters found that 38% were going to vote for a certain candidate. Find the 99% limit for the population proportion of voters who will vote for that candidate.
Develop a 95% confidence interval for the mean amount of household income for sub- scribers to Young Professional magazine. Interpret this interval.
The following regression equation and correlation coefficient were calculated using minitab for the bivariate data age of men and their weight.
Distinguish between a minimization and maximization LP model. Other than minimizing costs and maximizing profits, give a real-world example of where you would want to minimize something or maximize something.
Let μ be the mean perceived age estimate for all viewers of the ad, and suppose we consider the industry requirement to be met if μ is at least 25. Set up the null and alternative hypotheses needed to attempt to show that the industry requirement ..
At α = 0.10 test the claim that there is a difference in means of the salaries. (a) State the Hypotheses: (b) Compute the Test statistic: (Round off correctly)
He would like to estimate with .05 of the true proportion with a confidence level of 90%. What is the sample size needed?
Find a 98% confidence interval for the percentage of all eighth graders who have used alcohol. Round the upper and lower bounds to three decimal places.
In the Arnold's Muffler example for the exponential distribution, the average rate of service was given as 3 per hour, and the times were ex-pressed in hours.
Design a Linear programming problem for the flair Furniture Company and find the combination of tables and chairs that the company must produce to maximize profits.
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n=10, you determine that r=0.80.
Calculate the control limits for a c chart when Ubar = 3.0%, n = 60, and you collect one sample per hour for 40 hours of production. (2 sets of control limits required, x bar and range)
What are the advantages of ANOVA over the mean test and what are the disadvantages? Where would I use this in my everyday life?
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