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Suppose you heard a rumor that there was a difference in the salaries for men and women at your company. You decide to take a sample of employees and test the claim. Assume the Cumba database file represents a random sample of 100 employees. Using the Hypothesis Tests Two Sample file and a .05 significance level, test whether there is a difference in the mean salary for men versus women. Note: Use salary and gender data. Be sure to include a written explanation of your results in terms of managerial considerations.
The waiting time to place an order at a branch of a fast-food chain during the lunch hour has had population mean of 3.55 minutes, with a population standard deviation of 1.1 minute.
Also, what information do you need to get from the problem to put into Minitab to run a binomial calculation?
A machine produces parts with lengths that are normally distributed with ? = 0.59. A sample of 19 parts has a mean length of 76.26.
It is really frustrating to run out of stock. Why wouldn't an organization always store large quantities of inventory to eliminate shortages and stockouts?
A manufacturer claims that fewer than 6% of its fax machines are defective. In a random sample of 97 such fax machines, 4% are defective. Find the P-value for a test of the manufacturer's claim.
Why can not we just do several two sample tests like we did in the last week. In your own words explain briefly also tell us what these are and what did it mean.
When 500 college students are randomly selected and surveyed, it is found that 135 of them own personal computers (based on data from the America Passage Media Corporation).
Classify as independent or dependent samples: The average price of gasoline at ten local stations, and the average price of gasoline at ten stations in another state.
Pedestrian Walk Buttons New York City has 750 pedestrian walk buttons that work, and another 2500 that do not work (based on data from "For Exercise in New York Futility, Push Button
An important idea in data interpretation is choosing which graph to use under which circumstances. Describe the benefits of different graphs for different sets of data:
Explain in your own words (no direct quotes, please) what it means when there is an interaction between two factors.
What is the probability that one of these trucks selected at random would get a) between 13 and 15 miles per gallon? b) between 10 and 12 miles per gallon?
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