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A computer manufacturer offers a help line that purchasers can call for help 24 hours a day, 7 days a week. Clearing these calls for help in a timely fashion is important to the company's image. After telling the caller that resolution of the problem is important the caller is asked whether the issue is software or hardware related. The mean time it takes a technician to resolve a software issue is 18 minutes with a standard deviation of 4.2 minutes. This information was obtained from a sample of 35 monitored calls. For a study of 45 hardware issues, the mean time for the technician to resolve the problem was 15.5 minutes with a standard deviation of 3.9 minutes. This information was also obtained from monitored calls. At the .05 significance level does it take longer to resolve software issues? What is the p-value?
In this research report you will be analysing a set of data of which can be found in an EXCEL file available for download in the Assessment section of the Blackboard site.
ESPN reported in sample of 1000 homes the proportion of people who watched the Texas v. Ohio State college football game this weekend was .6.
a) Do a test to see if workers attitudes on this matter have changed using a 90% alpha. b) Explain to management what your findings are and what this suggests about future decisions vs work options.
The data is shown on the table. Is there a difference in mean SBP between treatments? Run the appropriate test at α= 0.05
When calculating correlation coefficient, what does a value of -2 indicate? Strong negative correlation, Weak negative correlation.
A mean of 54 and a standard deviation of 5; the N(54, 5) distribution. What is the relative frequency of classical CDs with a playing time of X of 59 minutes?
The mean time to expose a single panel in a circuit-board plant is two minutes with a standard deviation of 1.5 minutes. What is the natural coefficient of variation?
Create a 99% confidence interval estimate of population mean amount of paint included in a 1 gallon can.
Find the prediction equation for the price of a laptop using rating and features. What is the value of the residual standard deviation?
What variables will be included, and collection methods used to obtain data. What is the population, sampling method used and why it is the best. Plan for data: describe what you will do with data once you have it, include types of graphs used and..
Assuming this is literally true, how can it be explained? What facts / statistics would you need to know to expose this misleading claim?
Find the mean, median, mode, and midrange for these data.
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