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Problem: A manufacturing facility needs to open a new assembly line in four months or there will be significant cost overruns. The manager of this project believes that there are four possible values for the random variable X (the number of months from now it will take to complete this project): 3, 3.5, 4, and 4.5. It is currently believed that the probabilities of these four possibilities are in the ratio 1 to 2 to 3 to 2. That is, X = 3.5 is twice as likely as X = 3 and X = 4 is 1.5 times as likely as X = 3.5.
according to news reports in early 1995 among the first pentium chips intel made some had a peculiar defect which
the following regression model has been computed based on a sample of twenty observations 34.2 19.3x. the first
What is the likelihood that a sample of 50 people had an average IQ score of at least 110? What is the likelihood that a sample of 25 people
Construct a 90% confidence interval for the population proportion of students who believe the mascot should be changed.
What would be the predicted stock return for a company whose CEO made? $15 million?
a multiple choice test consists of 60 questions. each question has four possible answers and each question has one
suppose you were given the task of estimating the proportion of drivers in troy al who text while they drive. discuss
Calculate the following percentages for a z score of 0.74, with a tail of 22.96%: What percentage of scores falls between the mean and this z score?
A manufacturer of hand-held calculators receives large shipments of printed circuits from a supplier. It is too costly and time-consuming to inspect.
If two variables are strongly correlated, does it necessarily always follow that there is a direct cause-and-effect relationship between the two variables?
Assume 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.
Assume the data are normally distributed and normalize the sample mean. What is the probability that a sample mean would fall below 24 days based on this normalized statistic t where the actual standard deviation is unknown and the sample estimate..
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