Bootstrap Window Options

After you right-click a column in a report and select Bootstrap, the Bootstrapping window appears with the following options:

Number of Bootstrap Samples

The number of times that you want to re-sample the data and compute the statistics. A higher number results in more precise estimates of the statistics’ properties.

Fractional Weights

Uses fractional weights in the re-sampling process.

If Fractional Weights is not selected, the following observations are true:

‒	The sampling weights assigned to the original observations are integers.

‒	The influence of an observation is determined by the relative weights. For example, if an observation is assigned a weight of 2, then that observation appears twice in the sample for the current bootstrap iteration.

‒	The sampling weights can be zero. Observations with a weight of zero are not included in the estimation process for the current bootstrap iteration.

If Fractional Weights is selected, the following observations are true:

‒	The sampling weights can be non-integers. The influence of an observation is determined by the relative weights.

‒	The sampling weights cannot be zero. All of the observations are included in the bootstrap process.

In both cases, the sum of the weights is n (the number of observations in the original data).

Split Selected Column

Splits a stacked column of bootstrap results into separate columns, one for each statistic. For example, say that the column that you right-clicked before choosing Bootstrap has three statistics in it. In addition to the main results table with all the statistics stacked, another results table is created with the results for that column, unstacked into separate columns. For an example, see Stacked Results Table.

Discard Stacked Table if Split Works

(Applicable only if the Split Selected Column option is selected) If the Split Selected Column operation is successful, the stacked results table is not shown. Only the unstacked results table appears.