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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.)
For the 20 test scores shown, find the percentile rank for a score of 86.
Explain the relationship between total gross and opening gross total gross and number of theatres total gross and week in top 60.
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
Using quadratic regression model find the estimated number of planes.
How closely is the height of an individual related to the weight? Partial regression output for a sample of 92 individuals is below.
To test whether there is a significant mean difference among the three.
Explain the terms parameter and statistics. Make sure the concepts of population and sample are included in the definitions.
For this same sample of n = 45, find out the width of confidence interval around population mean? Illustrate all work.
Difference in the mean number of times men and women order take-out dinners in a month? What is the p-value?
At the .05 level of significance, can we conclude that those joining Weight Reducers on average will lose less than 10 pounds? Determine the p -value.
Part 1. What is the appropriate distribution for such data? Part 2. Is this lot anomalous?
Suppose population standard deviation for those drinking regular coffee is 1.20 cups per day and 1.36 cups per day for those drinking decaffeinated coffee.
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