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The target value for the diameter of a certain type of driveshaft is .75 in. The size of the shift in the average diameter considered important to detect is .002 in. Sample average diameters for successive groups of n 5 4 shafts are as follows: .7507, .7504, .7492, .7501, .7503, .7510, .7490, .7497, .7488, .7504, .7516, .7472, .7489, .7483, .7471, .7498, .7460, .7482, .7470, .7493, .7462, .7481. Use the computational form of the CUSUM procedure with = .003 to see whether the process mean remained on target throughout the time of observation.
When one of the five predictor variables in the preceding example is elimi- nated from the analysis, the value of R2 drops from 0.75 to 0.71. What does this tell us about the variable that was dropped?
Develop and solve a linear optimization model to determine the optimal mix to maximize profit, and write a short memo to the president, Kathy Chung, explaining the sensitivity information in language that she can understand.
find the area of the shaded region. the graph depcits iq scores of adults and those scores are normally distributed
let x1...xn1 be an iid sample from nu1o2 and let y1...yn2 be an iid sample from nu2o2 where parameters u1u2 and o2 are
y -8 -4xa. find the y-intercept and slopeb. determine weather the line slopes upward slopes downward or is horizontal
a multiple-choice test consists of 81 questions with possible answers of a b c d e. estimate the probability that with
Show all work, including justification for using the approximate model to find this probability. You may upload a picture as part of your supporting work if you wish.
the inside diameter of a cylinder has specifications 1 - .03 cm. the machining process output follows a normal
You are looking at two used cars at a dealership. They are both the same year, make, model, color and price. You decide to ask the salesman which is more reliable.
Describing capability. If the mesh tension of individual monitors follows a Normal distribution, we can describe capability by giving the percent of monitors that meet specifications.
A loaf of bread is normally distributed with a mean of 22 oz and a standard deviation of 0.5 oz. What is the probability that a loaf is more than 22.25 oz?
Can you please explain a general strategy for factoring in a very organized way. Give an example if possible.
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