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Nationwide, the average waiting time until a electric utility customer service representative answers a call is 250 seconds per call. The Gigantic Kilowatt Energy Company took a sample of 45 calls and found that, on the average, they answered in 230 seconds per call with a standard deviation of $40. Can the company claim that they are faster than the average utility?
Number of miles flown in a One- year period by the sample of "frequent flyers" was recorded. Is this a grouped or an ungrouped frequency distribution?
The following sample data shows the quarterly earnings in millions for two US companies. Your research interest is finding if the average earnings for these companies are different.
A board of directors at the Anchor Pointe Marina is studying the usage of boats among its members. A sample of 30 members who have bots 10 to 20 feet in length showed that they used their boats an average of 11 days last July.
A previous study of nickels showed that the standard deviation of the weight of nickels is 150 milligrams.
martindate were tester which can compare two materials in sigle run, weights losses from seven runs. Examine these data by creating the 90% confidence interval for difference of means. Define your assumption.
Explain why we need to use the t distribution. What assumption do you need to make?
There are 10 questions on a true-false test. A student feels unprepared for this test and randomly guesses the answer for each of these.
Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.
If the estimate is to be within 8 mpg of the true mean with 98% confidence and the estimated standard deviation is 22 mph, how large a sample size must be taken?
How can you or your department decide whether or not the variation is important? How could using a mean difference test help?
A discrete probability is the likelihood that certain discrete data will occur. What is discrete data? Consider a scenario where you could use a discrete probability to predict the likelihood of an event.
Construct a 90 percent confidence interval for the true mean weight. (b) What sample size would be necessary to estimate the true weight with an error of 0.02 grams with 90 percent confidence?
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