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Suppose that you used a 9-point rating scale and that you wanted to compare men who had an annual income over $50,000 (Group 1) with men who had an annual income less than or equal to $50,000 (Group 2) on their liking of a new product. If you studied 40 men in Group 1 and they have a mean of 7 and a standard deviation of 2.5, while the 35 men in Group 2 have a mean of 5 and a standard deviation of 1.4, what is the approximate value of t using the t-test?
A random sample of five accidents resulted in the following number of persons injured: 18, 15, 12, 19, & 21. Using the .01 significance level, can we conclude the population mean is less than 20 for all accidents?
What is the probability of this project being completed earlier than 19 days?
XYZ car rental company determined that the distance traveled per car per year is normally distributed with a standard deviation of 645 miles. If 12% of the cars travel more than 55,000 miles, what is the mean distance traveled per year?
This result prompts a test administrator to claim that standard deviation for eighth graders on examination is less than 29.At a = 0.10, is there sufficient evidence to support administrator's claim?
find the minimum usual value and the maximum usual value whenn 270 and p frac14.a minimum 60.38maximum 74.62b minimum
sketch a histogram showing the population distribution - locate value of the population mean in your sketch and make an estimate of the standard deviation.
Now assume that θ2 > 0 (with probability 1), and let δ1 hat be the Bayes estimator of 1/θ2 under the setup above. Show that δ1δ2 hat is the bayes estimator of θ1/θ2 , given x = (X1, X2).
the average magnesium concentration in ground water around metro city is u65.6 parts per millionppm with a standard
In a certain town, 60% of adults have a college degree. The accompanying table describes the probability distribution for the number of adults
the workers in a large meat packing plant earn annual incomes with mean 30000 and standard deviation of 9000. a labor
Developing a linear programming problem using Commuter Bus scheduling to minimize the total cost.
List all corner points and determine which combination of items will produce the maximum profit.
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