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An auto manufacturer chooses one car from each hour's production for a detailed quality inspection. One variable recorded is the count X of finish defects (dimples, ripples, etc) in the car's paint. Is it reasonable to use a binomial distribution?
A farmer in South Carolina must decide which crop to plant next year on his land: corn, peanuts, or soybeans. The return from each crop will be determined by whether a new trade bill with Russia passes the Senate.
He surveys a sample of 40 students and finds that for the most recent semester their average cost was $430 with a standard deviation of $80. What is the test value for this hypothesis test?
John Kim is the purchasing manager for your computer, Inc., a manufacture of network servers. A truckload of sheet metal has just arrived. Previous experience with the supplier suggests that the thickness of the sheet metal follows a normal distri..
Define validity and reliability. How can we insure our data is both reliable and valid? Which of these two do you think is the more important?
A candy company claims that 92% of consumers like their candies. To test this claim, 9571 people are selected at random from those who have eaten the company's candies.
Use the .05 significance level and the 5 step hypothesis testing process to check if there is a difference in the mean flight times among the three airlines.
Construct a 95% confidence interval estimate for the population proportion of airline travelers who think that the airline fee that is most unreasonable is additional charges to redeem point/miles.
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
What is the probability of drawing one or more aces after discarding 5, 7, 8, and 9
Management wishes to know how many casks of each wine to make to maximize total. profit. Prepare the linear programming model for this problem.
The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 100 hours.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
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