Question on Confidence Interval and 95%

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SUMMARY

The discussion focuses on constructing a 95% confidence interval for the mean area of display ads in a sample of 20 pages from the Ameritech Pages Plus Yellow Pages directory. The calculated confidence interval is based on the provided data set, which includes measurements in square millimeters. Additionally, the conversation addresses potential issues with normality in the data distribution and explores the necessary sample size to achieve a margin of error of ±10 square millimeters with 99% confidence. The data originates from a project by MBA student Daniel R. Dalach.

PREREQUISITES
  • Understanding of confidence intervals and their construction
  • Familiarity with statistical concepts such as normality and sample size determination
  • Knowledge of statistical software or tools for data analysis (e.g., R, Python)
  • Basic proficiency in interpreting statistical data and results
NEXT STEPS
  • Learn how to calculate confidence intervals using R or Python
  • Study the implications of normality on statistical analysis
  • Research sample size determination techniques for different confidence levels
  • Explore the Central Limit Theorem and its relevance to sample distributions
USEFUL FOR

Statisticians, data analysts, MBA students, and anyone involved in statistical research or data interpretation will benefit from this discussion.

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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 0 268 369 428 536
268 396 469 536 162 338 403 536 536 130

Questions to answer are:

(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.) DisplayAds
 
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