Question
Please show the appropriate steps to resolve the following problems, to include where you get the numerical values not found in the problem. Problem 1
Please show the appropriate steps to resolve the following problems, to include where you get the numerical values not found in the problem.
Problem 1
You are asked by the owner of the Moonbow Motel to develop a customer satisfaction survey to determine the percentage of customers who are dissatisfied with service. In the past year, 10,000 customers were serviced. The owner desires a 95 percent level of confidence with an allowable statistical error of 0.01. From past estimates, she believes that about 3.5 percent of customers have expressed dissatisfaction. What sample size should you use for this survey?
Problem 2
A manager at Localtel, a small telephone company, wants to determine how long service technicians need to perform a certain repair. In the past, an almost identical repair required 18.75 minutes, with a standard deviation of 0.2 minutes. Compute the sample size of times needing to be collected to ensure that they can be 90 percent confident of correctly estimating the repair time if the manager is willing to tolerate an error rate of 0.04.
Problem 3
The quality manager at the Noscrap Shirt Company took a random sample of 10 workers' output of good and defective shirts produced for 10 days each on a check sheet, as shown in the table below. Find the proportion of defective shirts in the sample by using the Excel COUNTIF function. Recommend what management should do, based on these findings.
Answers the question: Is the shirt good or defective? | |||||||||
GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | DEFECT | GOOD |
GOOD | GOOD | GOOD | DEFECT | GOOD | GOOD | GOOD | GOOD | GOOD | DEFECT |
GOOD | GOOD | GOOD | GOOD | DEFECT | DEFECT | GOOD | GOOD | DEFECT | GOOD |
GOOD | GOOD | DEFECT | GOOD | GOOD | GOOD | DEFECT | GOOD | GOOD | GOOD |
GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD |
GOOD | GOOD | GOOD | DEFECT | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD |
GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD |
GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD |
DEFECT | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | DEFECT | GOOD | GOOD |
GOOD | DEFECT | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD | GOOD |
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