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An automotive expert claims that the large number of self-serve gasoline stations has resulted in poor automobile maintenance, and that the average tire pressure is more than 4 pounds per square inch (psi) below its manufacturer's specification. As a quick test, 50 tires are examined, and the number of psi each tire is below specification is recorded. If we assume that tire pressure is normally distributed with σ = 1.5 psi, can we infer at the 10% significance level that the expert is correct? What is the p-value?
Can the company claim that they are faster than the average utility?
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Use a 0.05 significance level to test the claim that these credit rating are from a population with a mean that is equal to 700.
By using standard normal table, determine critical value (or values) for= 0.14 right-tailed test.
Project was estimated by using ADM/PERT analysis. Due to extensive length of project many activities were combined; Following is the result.
Report the t-value, whether you accept or reject Ho, and whether the difference was significant in a brief sentence.
Compute a 5-month moving average forecast for June through January.
The width of a confidence interval will be:
Find out the probability that the return for common stocks will be more than 0%.
In this research report you will be analysing a set of data of which can be found in an EXCEL file available for download in the Assessment section of the Blackboard site.
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p- value.
Carry out the suitable calculations to test for effect modification. Interpret your results.
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