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The Bureau of Labor Statistics reported that the average yearly income of executives in the year 2005 was $110,000. A sample of 81 executives, which was taken in 2006, showed an average yearly income of $120,000.
a. We want to test to determine if there has been a significant increase in the average yearly income of executives. Develop the null and alternative hypothesis for this problem.b. Test this problem at 99% confidence and provide conclusion.c. Would the problem have a similar conclusion if we knew the population standard deviation was $40,000? Why?
Give an example of some data that you could analyze with a Chi Square. Discuss the level of measurement that you would need to use this test.
At the .05 significance level, can she conclude that there is a difference in the mean amount of weight loss among the three diets?
A random sample of 16 students selected from the student body of a large university had an average age of 25 years and a standard deviation of 2 years.
Suppose you want an 85 percent confidence level. What value would you use to multiply the standard error of the mean?
Based on the F distribution tables, what is the most accurate statement that can be made about the p-value for this test?
In the Florida lottery, six numbers from 1 to 53 must be selected. to win the jackpot, the six numbers must match the draw numbers.
If he finds differences, then he may realize that, 1) he will need to evaluate his course ethnic sensitivity,
Four hundred people apply for three jobs. 110 of the applicants are women. (a) If three persons are selected at random, what is the probability that all are women?
A job placement director claims that the average starting salary for nurses is 24,000.A sample of 10 nurses' salaries has a mean of 23, 450 and a standard deviation of 400. Is there enough evidence to reject the director's claim at 0.05 level of s..
If the manufacturer stocks 100 components, what is the probability that the 100 orders can be filled without reordering components?
What is the probability that Sara will die in her 60 th year? Using this probability and the $50,000 death benefit, what is the expected loss to Big Rock Insurance?
Based on this information, confidence level would be 90% that population mean is somewhere between?
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