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An engineering firm is evaluating their back charges, and from this they claim that their average back charge is $1800. They randomly select 40 customers, and calculate the sample mean back charge to be $1925. If the standard deviation of back charges is $600, and alpha = 0.05, test the claim of the engineering firm. Perform an appropriate hypothesis test, showing the necessary calculations and/or explaining the process used to obtain the results.
Standard deviation of $1.2 million in 2009. Suppose a sample of 100 major league players was taken. What was the standard error for the sample mean salary?
Use a significance level of alpha = .05 to test the claim that p > .5. The sample is a simple random sample n = 50. Show how to calculate beta for the test and assume the true population proportion is .6.
Linda would like to maintain a 90% service level. what safety stock level do you recommend for BX-5?
Determine the 95% confidence interval for the population mean, based on the sample mean.
How large a sample is needed in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 6%?
Explain in language that the manager can understand why we cannot be confident that sales rose by 6%, and that in fact sales may even have dropped.
Assume rf is 5% and rm is 10%. According to the SML and CAPM, an asset with a beta of -2.0 has a required return of negative 5%[=5-2(10-5)]. Can this be possoble?
A random sample of n = 16 scores is selected from a normal distribution with a mean of μ = 50 and standard deviation of σ = 10. a) What is the probability that the sample mean will have a value between 45 and 55?
The theoretical probability of undesirable side effects resulting from taking Grebex is 1 in 11. If 121 people take Grebex to lower their blood pressure, how many will encounter undesirable side effects?
There are 3 radar stations and the probability of a single radar station detecting an enemy plane is 0.65. What is the probability of 2 stations detecting an enemy plane? Round your answer to nearest hundredth.
Pierre has a utility function for total asset position of u(x)=ln(x), His assets currently consist of $50,000 in cash and a rare violin he inherited from a rich uncle which is valued at $100,000.
The measure of forecast accuracy that is not influenced by the measurement scale of the time series data is:
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