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Let's treat race of offenders as the independent variable and race of victims as the dependent variable. If we first ignore the independent variable and try to predict race of victim, how many errors will we make?
A population is Normally distributed and has a σ =24. Samples of size 25 have a sample mean of 100. Find the 90% confidence interval for the population mean.
A college would like to have an entering class of 1200 students. Because not all students who are offered admission accept, the college admits more than 1200 students.
Mauricio Cruz, a wine merchant for Cruz's Spirits Emporium, wants to determine if the average price of imported wine is less than the average price of domestic wine.
Suppose that the number of cars, X, that pass through a car wash between 4:00pm and 5:00pm on any sunny Friday has the following probability distribution:
He will then compare the season batting averages of group A (those with ballet training) and group B (those without ballet training) by comparing the mean of group A with the mean of group B.
The resistances of carbon resistors of 1500 ohm nominal value are normally distributed with µ = 1500 and standard deviation = 200. What proportion of resistors is expected to have resistance greater than 1150 ohm?
Compare your best difference to the result from an ordinary two-sample t-test between these groups. Comment the difference.
In a multiple regression equation two independent variables are considered, and the sample size is 25. The regression coefficients and the standard errors are as follows.
Compute the variance and standard deviation of the number that will arrive within two days.
The rest have no opinion. Suppose that a sample of 100 American adults is quizzed on the subject. What is the probability of the following events?
A jar contains 12 marbles, 5 of which are blue and 7 of which are red. If 4 marbles are chosen at random and without replacement, what is the probability of selecting 3 blue ones and 1 red one?
compute the expected value and variance of U.Determine Expected value and variance using uniform distribution.
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