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Basic Analysis and Graphing - SAS

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Chapter 9 Bootstrapping 253<br />

<strong>Analysis</strong> of Bootstrap Results<br />

<strong>Analysis</strong> of Bootstrap Results<br />

Once you have the bootstrap results, you can analyze them using the Distribution platform. Select<br />

Analyze > Distribution <strong>and</strong> then assign the columns of interest to the appropriate roles. The Distribution<br />

platform searches for a BootID• column to produce the Bootstrap Confidence Limits report (Figure 9.7).<br />

Figure 9.7 Bootstrap Confidence Limits Report<br />

The Bootstrap Confidence Limits report shows the following quantiles of the bootstrap results:<br />

Coverage<br />

Pct Lower<br />

Pct Upper<br />

percentage associated with the quantile<br />

the 100((1-p)/2)th quantile of the bootstrap results, where p is the Coverage value<br />

the 100(p + (1-p)/2)th quantile of the bootstrap results, where p is the Coverage value<br />

Original Estimate<br />

estimate of the statistic using the original data<br />

For more information about interpreting the Bootstrap Confidence Limits report, see “Example of<br />

Bootstrapping” on page 249.

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