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Again referring to the data in 'odometer' from AnzacG.xls and the population from which it is drawn, determine the sample size required to estimate the population mean to within 5,000 kms with 90% confidence. Again assume the population standard deviation is 60,000 kms.
An insurance company has gathered the following information regarding the number of accidents reported per day over a period of 100 days.
Under what circumatances do you use a one-sided confidence interval instead of a 2 sided confidence interval?
Taguchi experiment is to be performed on the effects of lift, bore, stroke, and compression on engine performance with horsepower as the outcome variable. Determine the best levels for each factor and state your conclusions.
Identify the formal hypothesis testing process. Perform a hypothesis test of one proportion.
If the measurements are assumed to come from normally distributed populations with equal variances, estimate the difference between the population means, with con?dence coef?cient 0.95, and interpret.
What is the forecast for year 13 based on the 5-year moving average? What is the forecast for year 13 based on the 5-year weighted moving average? What is the MAD for the moving average forecast
Hospitials having fewer that 1000 discharges is estimated from a simple random sample of size 25. Use the central limit theorem to sketch the approximate sampling distribution of the estimate.
Find the probability that a random sample of 4 male Siberian tigers will have a sample mean weight more than 450 lb.
Define decision variables clearly. Formulate this as a linear programming problem and solve it with a detailed description of your output. Please include all output information.
Write a 300-500 word essay and describe the following terms: Central Limit Theorem and its application. Confidence intervals using sample means and sample proportions
I'm trying to determine what happens to the sample size if the level of confidence is reduced from 95% to 90% but the allowable error and the standard deviation remain
If a random sample of 36 lobster fishermen is selected, what is the probability that their average catch is less than 31.5 pounds? Assume the distribution of the weights of lobster is normal.
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