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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.
It costs ABC $0.5 per pound to ship the box containing the weights. Because it's an odd-shaped package, though, shipping the bar costs $0.6 per pound plus a $10 surcharge. Find the mean and standard deviation of the company's total cost for shippi..
How could the engineer increase the accuracy of the interval without changing the level of confidence?
To revise an existing inventory system, a company needs to know something about the lead time for orders it places for a critical part. The company looks at the last 20 orders placed and finds that the lead time in days are:
Elucidate this data use an appropriate statistical test to explain whether the population mean TV "on" time has declined in the past decade.
The accounting department at Western Materials Inc. national manufacturer of unattached garages, reports it takes two construction workers of a mean of 32 hours and standard deviation of 2 hours to erect Red Barn MODEL.
Perform the indicated test of hypothesis. HO: M 7, given x= 0.01, N=25, Xbar = 7.019 and SD is =.1681. Assume the sample is selected from a normally distributed population.
What is the equation for this regression model?
Distinct random variable
When the conditionally and unconditionally expected values of a discrete random variable would be different?
On the same chart, produce a graph showing the original probability mass function, and a line graph showing your selected continuous probability density function.
Formulate a linear programming model for this problem.
Find the equation for the regression line for the data, and predict the final grade of a student who misses 3.5 days.
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