To perform a bootstrap analysis, right-click on a numeric column of sample statistics in a table in a report window and select Bootstrap. The selected column is highlighted, and the Bootstrapping window appears. After you select options and click OK in the Bootstrapping window, bootstrap results for every statistic in the column appear in the default results table.
Performs a Bayesian bootstrap analysis. In each bootstrap iteration, each observation is assigned a weight that is calculated as described in Calculation of Fractional Weights. The weighted observations are used in computing the statistics of interest. By default, the Fractional Weights option is not selected and a simple bootstrap analysis is conducted.
Suppose that Fractional Weights is selected. For each bootstrap iteration, each observation that is used in the report is assigned a nonzero weight. These weights sum to n, the number of observations used in the calculations of the statistics of interest. For more information about how the weights are calculated and used, see Calculation of Fractional Weights.
Places bootstrap results for each statistic in the column that you selected for bootstrapping into a separate column in the Bootstrap Results table. Each row of the Bootstrap Results table (other than the first) corresponds to a single bootstrap sample.
(Applicable only if the Split Selected Column option is selected.) Determines the number of results tables produced by Bootstrap.
If the Discard Stacked Table if Split Works option is not selected, then two Bootstrap tables are shown:
If the Discard Stacked Table if Split Works option is selected and if the Split Selected Column operation is successful, the Stacked Bootstrap Results table is not shown.

Help created on 9/19/2017