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A tire manufacturing company advertises that its XL600 tire lasts at least 60,000 miles. From history, the company knows the standard deviation of the tire life is 8,000 miles. A consumer group has noticed more and more complaints about the tire failing at less miles so it decides to conduct a Z test at the .05 level of significance to determine whether the tires last less than 60,000 miles. The consumer group samples 49 of the tires and finds the tires have a mean of life 55,000 miles. Based on the results of the test, can the consumer group report in its next publication that the tires last less than 60,000 miles?
With a 98% level of confidence a company producing street signs wants to make sure the length of their product is meeting quality standards.
By using.02 level of significance, carry out a 5-step hypothesis testing procedure to find out if new processes considerably reduced the wait time.
Developing a linear programming problem using Commuter Bus scheduling to minimize the total cost.
Is the transportation model the example of decision making under certainty or decision making under uncertainty? Provide the real-world example illustrtating why it is certainty or uncertainty.
In an article in the Journal of Management Information Systems, Mahmood and Mann investigate how information technology (IT) investment relates to company performance.
Using sample, determine a 98% confidence interval for mean weight of whole daily output.
What is an estimate of the proportion defective for the piston manufacturing process when it is control?
Researcher wants to estimate in $300 true average amount of money country spends on road repairs each year. If she wishes to be 90% confident, how large sample is essential?
Should the finite-population correction factor be used? Why or why not?
A firm plans to hire 100 employees during the year. It expects that 25 of these employees will obtain graduate degrees within the next 5 years of being hired. In addition, 35 employees will leave the firm within 5 years.
The mean of a sample is 22.5. The mean of 1000 bootstrapped samples is 22.491. The bias of the bootstrap mean is
USA snapshot presented a bar graph depicting business travelers' impression of wait times in airport security lines over the past 12 months. Statistics were derived from Travel Industry Association of American Business Traveler Survey of 2034 resp..
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