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In 2002, 905 GSS respondents watched television for an average of 3 hours a day, with a standard deviation of 2.4 hours. Answer the following questions, assuming the distribution of the number of television hours is normal.
a) What is the Z score for a person who watches more than 8 hours per day?
A study sponsored by American Express Co. and the French government tourist office found that old American stereotypes about French unfriendliness weren't true.
Compute b1, slope of an OLS regression line using dollars spent as dependent variable (Y) and age as independent variable (X).
A researcher conductued a study of the access speed of 35 hard drives and concluded that his maximum error of estimate was 35. If he were to conduct a second study to reduce the maximum error of estimate to 7, about how many hard drives should he ..
Determine the coefficient of correlation. Interpret the relationship between BAC and age using the correlation coefficient. Determine the coefficient of determination. Interpret.
Bougainvilleas, mean growth rate was 2.23 inches/week and sample standard deviation was 0.77 inches/week. Determine a 90% confidence interval for mean growth rate of all Bougainvilleas.
Each egg was also measured for volume using a water displacement method. We wanted to know if the two methods agreed or not
In the accompanying table, the random variable x represents the number of televisions in a household in a certain country. Determine whether or not the table is probability distribution. If it is a probability distribution, find its mean and stand..
Construct a stem and leaf plot of the income. what do you predict about the shape of the population distribution. complete the following sentence. Fifty percent of the data falls below $ ______.
A motor transport company has 50 similar buses. The management suspects that its control of these vehicles is inadequate. What suggestions could you make for investigating vehicle use, and tightening managerial control over the company?
The following is a time series data set. Run a time-series analysis for projections of April 2009 in the Healthcare industry of Nashville.
Using least squares regression analysis, what would you estimate demand to be for each month next year?
if you sample 100 people and 20 turn out to be over 65 inches tall, you get $20. Which is better: a sample of size 100 or a sample of size 1,000? Choose one and explain. Does the law of averages relate to the answer you give?
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