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The machining center at a production facility has three lathes of differing ages and thus precision. The oldest, machine A, produces finished units of product of which 88% are good, 8% are blemished, and 4% unusable. Machine B produces 92% good, 6% blemished, and 2% unusable. The newest machine, machine C, turns out product that is 96% good, 3% blemished, and 1% unusable. If machine A produces ¼ of the company's output and machine B turns out 1/3 of the output, what fraction of the company's product is good? What percentage is blemished? If an unit of product is selected at random and found to be blemished, what is the probability that it was produced on machine B?
If sample of size 10 packages is randomly chosen, and 5 percent rate holds, determine the probability that exactly 2 packages in the sample arrive late?
A doctoral student is designing a research study. She is hoping that the results of the study are statistically significant. What type of p-value would she want to obtain? Select one of the following.
A normal distribution with a mean of 55 and a standard deviation of 6 is evaluated to solve a business problem.
Is there evidence to suggest that the training course helps out sales people?
Given the following data, calculate the EMV for each investment alternative. Which is best based on the EMVs you calculated?
A realtor took a random sample of records of sales of homes from the files maintained by the Albuquerque Board of Realtors.
A statistical study reported that a drug was effective with a p-value of .042. Explain in words what this tells you.
The following observations are weights of 10 potatoes in grams. Calculate the percentage of potatoes with weights greater than 25 grams and the range of weights for 95% of the potatoes. (Use sample statistics as the population parameters are not obse..
probability based on normal distribution.1.determine the area under the standard normal curve that lies to the left of
1.a manufacturer receives parts from two suppliers. an srs of 400 parts from supplier 1 finds 20 defective. an srs of
ATM center in Mumbai is random with an average rate of 1.3 customer per min. Assume the arrival follows a Poisson distribution, calculate the probability that: Not a single customer arrived in a minute.
OHIP records show the average length of stay in Ontario hospitals is 5.4 days. A researcher sampled 125 patient records at US hospitals and found that the mean stay was 4.6 days
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