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From a sample of 90 people, 30% disagreed with a statement.
a) Construct a 95% confidence interval for the proportion of people agreeing with the statement.
b) Construct a 95% confidence interval for the proportion of people disagreeing with the statement.
c) Compare the lengths of the confidence intervals in parts a) and b).
How many days should be considered if a 95 percent confidence is used and the estimate is to be within one hundred dollars?
Find the power of the test designed to determine if the the new safety equipment is effective when the mean percent reduction is actually 2.3%. Assume that the population standard deviation is 12% and that α is 0.02. What is the power?
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? Compute the value of the test statistic.
The time, in hours, that a copying machine may work without breaking down is the normally distributed random variable with mean 549 and the standard deviation 68.
The average stock price for companies making up the S&P 500 is $40, and the standard deviation is $10. Assume the stock prices are normally distributed. What is the probability a company will have a stock price less than $33.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size.
A random sample of 400 observations produced a sample proportion of 0.32. What is the standard error to construct a 99.5% confidence interval.
Calculate (a) MAD, (b) MSE, and (c) MAPE for the following forecast versus actual sales figures.
Recognize the given samples are independent samples or matched pairs.
Construct the 90% and 95% interval estimates for the population mean weekly sales.
British scientists have developed a 15 minute brain scan they hope could be used to detect autism in children. Autism and related disorders affect up to 7 out of every 1000 individuals.
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