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Nationwide, the average time until a electric utility customer service representative answers a call is 260 second. The Gigantic Kilowatt Energy Company randomly sampled 30 calls and found that, on average, they were answered in 227 second with a population standard deviation of 40 seconds. Can the company claim that they are faster than the average utility at a = 0.05?yes, because the test value -4.52 falls int he critical region
no, because the test value -0.83 falls in the critical region.
yes, because the test value -0.15 falls in the critical region.
no, because the test value -0.15 falls in the critical region.
Determine the mode for this distribution. Describe why you can't calculate the mean number of times using data in the table.
Determine the average amount of time that a guest spends checking in. How would this change under each of the state options?
Write a brief summary of the distribution of the area of homes.
To demonstrate the effectiveness of the drug, a researcher selects a sample of n = 25 children diagnosed with the disorder and measure each child's attention span before and after taking the drug.
Utilizing the 5% level of significance as there was a significant change in cholesterol level. Their total cholesterol levels before also after the diet.
According to a report by Scarborough Research, the average monthly household cellular phone bill is $73. Suppose local monthly household cell phone bills are normally distributed with a standard deviation of $11.35.
A local bank wants to install motion detector burglar alarms. Each has a 70% chance of detecting a burglar. If the bank wants to be 99% certain of detecting a burglar how many need to be installed?
A random sample of 100 oranges is gathered and the mean diameter obtained was 5.12. If another sample of 100 is taken, what is the possibility that its sample mean will be greater than 5.12 inches.
Suppose you wish to test a one-tail hypothesis where you reject H0 only in the lower tail. You calculate ZSTAT = 1.38. What is the statistical decision if you test the null hypothesis at the 0.01 level of significance?
Compute a 95% confidence interval for the population proportion of positive drug tests. Explain why is the normality assumption not a problem despite the very small value of p.
Do the data demonstrate that the true mean photometer reading for the color density is significantly different from 12 at 3 percent level of significance?
Perform the appropriate test for a difference in mean blood glucose and report the p-value for the two-tailed test of significance, assuming that the variances are equal.
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