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Supersonic wind tunnels store air under high pressure in cylindrical pressure vessels - the pressure, when released, produces hypersonic rates of flow. The pressure vessels are routinely prooftested to ensure that they are safe. If such a cylinder, of diameter 400mm and wall thickness 20 mm, made of a steel with a fracture toughness of 42 MPa-m1/2, survives a proof test to 40 MPa (400 atmospheres), what is the length of the largest continued penny-shaped interior crack it might contain?
question a grocery store is hiring 5 new stock-persons for the summer. 19 equally qualified students apply for the job.
Assume that replacement time for TVs are normally distributed with a mean of 8.2 years and a standard deviation of 1.1 years. The probability a randomly selected TV will have replacement time less than 5.5 years to be .0071.
Nationwide, the average waiting time until a electric utility customer service representative answers a call is 210 seconds. The Gigantic Kilowatt Energy Company randomly sampled 30 calls and found that, on average, they were answered in 183 secon..
A teller can process an average of 100 customers per hour, which also can be modeled by a Poisson distribution. If there is one teller on duty, determine:
the raw milk case i get contains 29 other purchasers raw milk. the number of bottles i need to move in the fridge to
Use the Internet or other resources to find an example of a research article in a professional journal of interest to you, and not in daily periodicals or weekly publications. Prepare a synopsis of the article including the following:
Suppose that January sales for the fourth year turn out to be $295,000. What was your forecast error? If this is a large error, Karen might be puzzled about the difference between your forecast and actual sales value.
Assuming this is literally true, how can it be explained? What facts and/or statistics would you need to know to expose this misleading claim?
Let's suppose that we have 2 variables year and age.. I use STATA to make them into dummy variables as follows:
What is a simple but legitimate power analysis formula? I am trying to do qualitative research on African American HS boys in the Midwest.
The Oakland Bombers professional basketball team just missed making the playoffs last season and believes it needs to sign only one very good free agent to make the palyoffs next season.
How would I go about finding the probabilities for the following discrete random variables? Among a shipment of 5,000 tires, 1,000 are slightly blemished. If one purchases 10 of these tires, what is the probability that 3 or less (P (x
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