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An assembly line turns out 10% deffectives. Determine an acceptance number and sampling plan for samples of size 14 and a producers risk of 3%. (AQL = 10)).
a) Based on the plan you devised in part a, determine the probability of still accepting if in reality the line is turning out 30% defectives.
b) Determine an acceptance sampling plan for samples of size 200 and a producer's risk of 3%.
c) Based on the plan you devised in part b determne the probability of still accepting if in reality the line is turning out 15% deffectives.
Suppose that a study based on a sample from a targeted population shows that people at a pizza restaurant are hungrier than people at a coffee shop. Make an interference based on the results of the study.
A random sample of 16 ages is drawn from the population, and we find the sample mean of these observations to be μ = 8.76. What is the value of the test statistic?
Suppose we select a sample of 40 tires and use a simulator to determine the tread life. What is the likelihood of finding that the sample mean is between 59,050 and 60,950?
Determine the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect?
The results for college x was a mean of 5 hours and an estimated population variance of 2 hours: for college y, m= 4, s 2 =1.5; and for college Z, M= 6, s 2 =2.5 what should you conclude? Use the .5 level.
She asks 10 people how many Standard Deviations songs they know. Her data are:
At the .05 level of significance, can we conclude the Middletown students stayed in their districts less time than the Brockton students? Use the five-step hypothesis testing procedure.
For this assignment employ the data below which was taken from the previous online class. Find out if the data is qualitative or quantitative, continuous or discrete, and determine the level of measurement.
Suppose that 50 identical batteries are being tested. After 8 hours of continuous use, assume that a given battery is still operating with a probability of 0.70 and has failed with a probability of 0.30.
If the computed value for this problem is +2.33, and the level of significance is 0.05, can we conclude that the recall proportions for the two commercials are same?
Douglas Boats is considering the possibility of expanding the warehouse for the WM-4 motors. How much should Douglas Boats expand, and how much would it be worth for the company to make the expansion? Assume demand is constant throughout the year.
Given CAPM as the benchmark, is either of the two managers over-performing the market? What if you use the Sharpe Ratio as benchmark? Explain the answer carefully.
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