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The employees of Cartwright Manufacturing are awarded efficiency ratings. The distribution of the ratings approximates a normal distribution. The mean is 420, the standard deviation 59. What is the area under the normal curve between 420 and 495?
The hypothesis test produces a z-score of z = -2.60. Assuming that the researcher is using a two-tailed test, what is the correct statistical decision.
The analysis needs to be re-run adding the error into the regression sum of squares.
A manufacturer claims that the mean lifetime, mean, of its light bulbs is 52 months. The standard deviation of these lifetimes is 7 months. Ninety bulbs are selected at random, and their mean lifetime is found to be 55 months.
suppose that 4 of the 2 million high school students who take the sat each year receive special accommodations because
a researcher wants to find out how college students feel about their social security system. which of the following
is the value t 2.12 statistically significant at the 10 level? at the 5 level?a. the value t 2.12 is significant both
Find out the correlation among the two variables in the regression. A simple linear regression produced the following computer output.
positive correlation between CEO salary and the Stock Price, and therefore, for the good sake of the company's stock value, his salary should be increased. Do you agree with his argument? Explain why or why not.
How much should they charge for a 2 year extended warranty so that they will still make money selling the extended warranties in the long run and keep the cost of the warranties as low as possible to make them more marketable?
decide first if binomial or hypergeometric distributions is appropriate. then write which one is most appropriate.
Determine probability of 0 nonconforming units on first sample and 2 nonconforming units on second? First gasket selected is returned to lot before the second one is selected.
The bank wishes to inform prospective customers that '99 times out 100 we can process your application in q working days'. Assuming that the normal distribution is still an adequate model, calculate q.
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