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Question: A company that makes electronic devices for use in hospitals needs to decide on one of two possible suppliers for a certain component to be used in the devices. The company gathers a random sample of 200 items made by supplier A and finds that 12 items are defective. An independent random sample of 250 items made by supplier B reveals that 38 are defective. Is one supplier more reliable than the other? Explain.
If you look at the power curve or the OC curve of a two-tailed test, you see that there is no region that represents instances of type I error.
In the publication Employment and Earnings, information on the ages of people in the civilian labor force was published. Seventy-five people in the civilian labor force are randomly selected.
question the average annual total return for u.s. diversified equity mutual funds from 1999 to 2003 was 4.1
Why would some prefer normal activity to expected actual activity to compute a predetermined overhead rate?
Conduct an analysis of variance test to determine whether there is any evidence to suggest that at least two of the population mean weights are different. Use a = 0.01.
the slider p moves inward by pulling a string is not shown. the arm angular position is given in radians by theta
The scores are normally distributed with a mean of 165 and a standard deviation of 17. If only the top 20% of the soldiers are selected, what would the cutoff score be?
X, Y, and Z are independent normally distributed random variables. The following information is known about these three variables:
Data on mice. For a biology project, you measure the tail length (centimeters) and weight (grams) of 12 mice of the same variety.
Experience has shown that the standard deviation of the bounce is .30. If X = 1.70, and assuming normality, what is a .90 confidence interval for the average bounce?
Discuss how to minimize the problems of fatigue, boredom, or practice effects in within-subject designs. This doesn''t have to be very long. Brief and clear with only about 150 words.
A sample of 115 randomly selected students, found that the proportion of students planning to travel home for Thanksgiving is 0.71.
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