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A University employment office wants to compare the time taken by graduates with 3 different majors to find their first jobs after graduation. The following tables lists the time (in days) taken to find their first full time job after graduation for a random sample of 8 business majors, 7 computer science majors & 6 engineering majors who graduated in May 2005.
Business Computer Engineering Science
36 56 26
62 13 51
35 24 63
80 28 46
27 47 78
48 44 34
76 20
44
At the 5% significance level, can you conclude that the mean time taken to find their first job for all 2005 graduates in these fields is the same?
At the .05 significance level, can she conclude that there is a difference in the mean amount of weight loss among the three diets?
What is the probability that a randomly selected monthly cell phone bill is more than $100?
What is the value of the test statistic and decision? Show step by step on how you obtained your final answer.
To give 98% confidence interval for population mean μ, you would use critical value.
At a college, 70 percent of the students are women and 35 percent of students receive grade of C. About 20 percent of students are neither female nor C students. Use this contingency table.
Using the following data on 15 workers, construct an exact 95% confidence interval for µ.
The Consumer Price Index (CPI) and the cost of a slice of pizza
At the 5 percent level of significance, does this sample prove a violation of the guideline that the average patient should pay no more than $250 out-of-pocket? State your hypotheses and decision rule.
Sales of a product are influenced by the salesperson's level of education and gender, as well as consumer income, ethnicity, and wealth.
The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages.
An airline tracks data on its flight arrivals. Over the past six months, 65 flights on one route arrived early, 273 arrived on time, 218 were late, and 44 were cancelled.
Explain the meaning of the conditional mean of the dependent variable in the population regression function. Illustrate using an example.
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