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A sample of 20 pages was taken without replacement from the 1,591-page phone directory Ameritech Pages Plus Yellow Pages. On each page, the mean area devoted to display ads was measured (a display ad is a large block of multicolored illustrations, maps, and text). The data (in square millimeters) are shown below:
0
260
356
403
536
268
369
428
396
469
162
338
130
(a) Construct a 95 percent confidence interval for the true mean.
(b) Why might normality be an issue here?
(c) What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
(d) If this is not a reasonable requirement, suggest one that is. (Data are from a project by MBA student Daniel R. Dalach.)
In a regression model involving 30 observations, the following estimated regression equation was obtained:
In a study of the consumer's view of the economy, the probability that a consumer would buy a house during the year was 0.0013, and the probability that the consumer would buy a car during the year was 0.198. There was also a 0.0100 probability t..
Compute a seasonalized or adjusted sales forecast.
At the 5 percent level of significance, does this sample prove a violation of the guideline that the average patient should pay no more than $250 out-of-pocket? State your hypotheses and decision rule.
Given 7 male individuals in a Physical Education course, the number of sit ups each individual can do in a one minute period was recorded:
Explain the strength of relationship between the assets?
Determine the expected shape of distribution of sample mean? Compute the likelihood of choosing a sample with mean of at least $112,000?
If wages were increased by $1.00, what is the expected effect on the number of complaints received per employee? How can you tell?
Determine the probability of choosing at random license plate which ends in the even number?
Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.
A month is classified as "extremely wet" if the amount of rainfall is in the upper 10% for that month. How much precipitation must fall before a month of April is classified as "extremely wet".
How large should n be so that a 90% confidence interval for µ has a margin of error and What is the P-value for a test of the hypotheses
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