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A health care facility is monitoring daily expenditures for a certain diagnosis-related group (DRG). Individual observations are selected. After 50 samples, the average and standard deviation of daily expenditures (in hundreds of dollars) are estimated to be 15 and 2, respectively.
(a) Find the 3σ control limits.
(b) Suppose that Rules 1 and 2 are used simultaneously for the detection of out-of control conditions. Assuming independence of the rules, what is the overall probability of a type I error? Explain the meaning of a type I error in this context.
(c) What is the ARL using Rule 1?
(d) Suppose that the average daily expenditures for the same DRG increases to $1750. What is the chance of detecting this shift by the second sample drawn after the shift using Rule 1?
You have been asked to study the effects of an employee-wide training program, in a company of 500 employees, designed to reduce the amount of customer complaints.
Determine the upper control limit (UCL) and lower control limit (LCL) for an X-Bar chart if six samples of subgroup size 5 (n=5) were collected, and the mean of the sample averages is 4.7 and mean of the sample ranges is 0.35.
Recognize the given samples are independent samples or matched pairs.
The Martin Company is in the process of planning for new production facilities and developing a more efficient distribution system design. At present, it has one plant at St.Louis with a capacity of 30000 units.
You are examining a brick manufacturing facility. The process has historically produced 5% nonconforming bricks. Calculate the expected value and standard deviation of the number of nonconforming bricks during a typical hour of production
The following output is the result of running a linear regression on WEIGHT (y) = average weight in pounds for American females. Based on this regression model output, what will be the weight of a Russian Female who is 71 inches tall?
Lowess smoothing becomes difficult when there are many predictors and the sample size is small. This is sometimes referred to as the "curse of dimensionality." Discuss the nature of this problem.
1. Describe the following variables as quantitative or qualitative, and describe the scales of measurement. A. The distance a student commutes from home to the Berkeley campus.
suppose your instructor randomly surveyed his or her performance i.e. students graded the teacher this semester. the
out of 87 observations 67 were successes. ho p 0.54. confidence level 98. what is the value of the appropriate test
n american roulette wheel has 38 slots 18 are red 18 are black and 2 are green. let r be the number of spins until you
what is the probability that in the sample fewer than 35 are willing to spend extra for products and services from
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