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Compute a 95% confidence interval for the population mean, based on the sample 15, 17, 13, 14, 15, 14 and 59. Change the number from 59 to 14 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme value on the confidence interval.
What can one conclude about the librarian's hypothesis at a level of significance of .05?
A Manager needs to decide between two machines to put into market following a Weibull distribution. Machine X test unit cost $3000 with beta=3 and theta=500 Machine Y test unit cost $2000 with beta=3 and theta=400
Let us suppose you have taken 100 samples of size 49 each from normally distributed population. Compute standard deviation of sample means if population's variance is 16. Area to left of ‘z' is 0.9976.
Whole Foods needs at least 1,000 units of beets. The Ames supplier can supply at least 400 units and the Zearing supplier can supply no more than 900 units. Develop constraints for these conditions.
Assuming we can verify that the data set is approximately normally distributed, what percentage of times will the server be down less than 24 minutes?
An experiment is designed to test the potency of a drug on 20 rats. Previous animal studies have shown that 10-mg dose of the drug is lethal 5% of the time within the first 4 hours; of the animals alive at 4 hours, 10% will die in the next 4 hours..
Compute standard error of mean? Compute the margin of error, with 95% confidence.
Found mean number of sticks of gum chewed per day was 9. Standard deviation of population is 1. At α = .05, is number of sticks of gum person chews per day actually is greater than 8?
Decide between two stock investment choices. Determine the probability for each condition to make the investment even between the two.
Simulate the arrival of cars at the service station for 20 arrivals and compute the average time between stations and Simulate the arrival of the cars at the service station for 1 hour
Identify the null hypothesis, alternative hypothesis, test statistic, p-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.
Show that theta~ = u(X) is an unbiased estimator of theta, where u(0) = 1 and u(x) = 0 if x =1,2, ... Compare the MSEs of theta(hat) and theta~ for estimating theta = e^(-m) when m=1 and m=2
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