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Two parts are assembled as shown in the figure. The distributions of x1 and x2 are normal, with µ1 = 20, s1 = 0.3 and µ2 = 19.6, s2 = 0.4.
The specifications of the clearance between the mating parts are 0.5 ± 0.4. What fraction of assemblies will fail to meet specifications if assembly is at random?
What assumptions about the number of pedestrians passing the location in an hour are necessary for your hypothesis test to be valid?
Determine whether this data already provides an expected relative error introduced by the simulation of below 5%. If not, compute how many new simulations you should run in order to reduce the expected relative error introduced by the simulation b..
Generate syntax and output files in SPSS. You will need to copy and paste these into your Application document. Use one kind of chart (any kind) to describe the data
Explain the methodology you will use to answer the question you posed. Your explanation should include answers to the questions - What is the variable of interest?
Calculate the total tax bill for both low and high income individuals in both countries and fill in the table above with your results and what is the unemployment rate
What is a three-period moving average forecast for the month of July? What is the slope of the regression equation developed when the Sales data are used to predict the Pounds?
Perspective about the problem you are trying to analyze; in other words, you should review the literature concerning your subject. The library or the web will be a good source of information.
Analyze the processed data in Statistical survey.
Calculate the ANOVA table for the model, which you have determined. What is the estimate of the variance in the electric power measurement?
Determine the stream function and plot the streamlines and Discretise the expression for the second derivative using the finite difference approach
How much of each product do you recommend be produced that you believe maximizes revenue? How much revenue would be made if they followed your recommendation?
Can the company rely on the fact that the strength of the chemical is identical from batch to batch and from barrel to barrel and what is the mean strength of the chemical in these stored barrels? How prccisc is that estimate?
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