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A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What are your critical values?
A sample of 40 decaffeinated-coffee drinkers showed a mean of 5.84 cups per day, with a standard deviation of 1.36 cups per day. Use the .01 significance level. Compute the p-value.
Assume you are using ANOVA to study some phenomenon. There are three treatment levels and a total of 17 people in the study. Complete the following ANOVA table.
The amounts of money requested on home loan applications at a particular bank follow the normal distribution, with a mean of $80,000 and a standard deviation of $24,000. A loan application is received during the day.
Use the sales data given below determine: a) The least square trend line.
Develop a 99% confidence interval for the population proportion.
Computing the mean value for the given data - What is the new mean for the class and frequency distribution graph, what type of graph should be used
One environmental group did a study of recycling habits in a California community. It found that 73% of the aluminum cans sold in the area were recycled. (Round your answers to four decimal places.)
Assume that the weights of coconuts are normally distributed with a mean weight of 17.6 pounds and a standard deviation of 1.2 pounds.
An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of two emails per hour. Suppose the arrival of these emails is approximated by the Poisson distribution.
Explain what property associated with the Central Limit Theorem you consider the most important contribution, enabling the use of the normal distribution for sample means.
Suppose a company owns three cars that get 20 miles per gallon, two cars that get 22 miles per gallon and one car that gets 24 miles per gallon. Would the mean miles per gallon be 22?
It is believed that population standard deviation is 15 days. If test is conducted using a 0.05 level of significance, what conclusion must be reached?
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