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A research team wishes to specify a manufacturing process so that Y, the area in a product affected by surface flaws is as small as possible. They have three levels of concentration of a chemical used to wash the product before the final manufacturing step and want to determine whether the concentration level changes E(Y). They run a balanced one-way layout with J=8 observations for each concentration with level 1 set at 10%, level 2 at 15%, and level 3 at 20%. They observe that y1=22.7 , y2=12.3, y3=18.4 where yi is the average of the ovservations taken on the ith level. They also observe that s1^2=421, s2^2=486, and s3^2= 454, where si^2 is the unbiased estimate of the variance for the observations taken on the ith level.
Q: Partition the sum of squres due to the concentrations into sum of squares due to the linear contrast and the quadratic contrast. The vector of coefficients for the linear contrast is (-1,0,1). The vector for the quadratic contrast is (1,-2,1). Evaluate the importance of each of these sums of squares. Give the 99% Scheffe confidence intervals for the linear and quadratic contrasts.
A True-False test was developed for a Risk Management class. A student, who didn't study, decided to randomly guess the answer on each question.
Job Interviews: Based on information from MRINetwork, some job applicants are required to have several interviews before a decision is made. The number of required interviews and the corresponding probabilities are: 1 (0.09); 2 (0-31); (0.37); 4 (..
A random sample of 90 printers discovered that 25 of them were being used in small businesses. Find the 95% limit for the population proportion of printers that are used in small buisnesses.
A manufacturer claims that fewer than 6% of its fax machines are defective. In a random sample of 97 such fax machines, 4% are defective. Find the P-value for a test of the manufacturer's claim.
A snack company distributes chips in bags labeled 6 ounces. The local Bureau of Weights and Measures randomly selects 50 bags of chips and obtains a sample mean of 5.9 ounces.
Which of the variables below do you think will be roughly normally distributed? Please select all that apply.
What is the probability that one of these trucks selected at random would get a) between 13 and 15 miles per gallon? b) between 10 and 12 miles per gallon?
Assume a sample of 25 women is needed for the study. What type/s of method/s of random selection can you use to determine which women should be asked to participate in the study?
There are two boxes, Box A and Box B. Box A has 40 tags with the number 1, 50 tags with the number 10, and 10 tags with the number 100. Box B has 40 tags with the number 100, 50 tags with the number 10, and 10 tags with the number 1.
The wheat harvesting season is short. Farmers deliver their truck loads of wheat to a giant central storage bin within a two-week span. Because of this, wheat-filled trucks waiting to unload and return to the fields have been known to back up for ..
Your company has experienced problems with employee morale and productivity. The consultant that was hired submits a report that includes opinions and data collected from 300 secretaries and clerks as well as 75 senior managers.
Compare BSN students who have lecture to those who do not receive lecture on safety. Compare ASN students who have lecture to those who do not receive lecture on safety
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