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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.)
Dunn Poitiac has compiled the following sales data regarding the number of cars sold over the past 60n selling days. Answer the following questions for the sales data shown.
Support colour-coding on packaged food to indicate healthier options
The random variable x is known to be uniformly distributed between 1.0 and 1.5.
Compute β-error of test in part (a) if true difference in mean burning rate is 2.5 centimeters per second.
At the .05 significance level, is there a difference in the proportion of viewers watching the three channels?
A random sample of 100 students at Southern University was collected. The mean age was found to be 24.2 years, with a standard deviation of 3.4 years.
A regression model between sales (Y in $1,000), unit price (X 1 in dollars) and television advertisement (X 2 in dollars) resulted in the following function: = 7 - 3X1 + 5X 2 For this model SSR = 3500, SSE = 1500, and the sample size is 18...
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
What percent of trucks logged more than 57,060 but less than 58,280 miles? What percent of Fords travelled 62,000 miles or less in the year?
Determine the class with the greatest number of data values.
This table gives three measurements of 10 samples made in a production run. Use statistical process control method to solve problem.
If campaign can be expected to also to rise the probability of best case scenario to 0.4, is it a good investment.
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