Global Settings

Click the Settings button in the Statistica Reporting Tables dialog box to display the Global Settings dialog box, which contains infrequently used parameters that affect the entire report.

Info. In this text box, type information that will be displayed in the Info Area (upper-left corner) of each output spreadsheet. Press the Enter key on your keyboard to create a line break.

Cut-Off Percentage Settings. The options in this group box provide control of the threshold values for certain statistics. In Statistica Reporting Tables, these values are used only if at least one entry in the S Placement pane selects the corresponding statistic via the Output Parameters Settings dialog box.

Confidence Level Standard Deviation. Enter a percentage value to use in calculating the Confidence Level Standard Deviation.

Confidence Level. Enter a percentage value to use in calculating the Confidence Level.

First Percentile / Second Percentile. Specify the percentile boundaries to compute in these fields.

Trim % Cases for Trimmed Mean. Enter a percentage value to use in calculating the trimmed mean. Unlike the Winsorized mean (which replaces a percentage of values from the top and bottom of the data set), the Trimmed mean is calculated by removing a percentage of values from both ends of the data set. A trimmed mean, therefore, is the arithmetic average after x-percentage of values has been removed from the highest and lowest ends of the data set.

Trim % Cases for Winsorized Mean. Enter a percentage value to use in calculating the winsorized mean. The winsorized mean is the mean computed after the x-percentage highest and lowest values are replaced by the next adjacent value in the distribution. For example, consider an ordered data set with 100 observations: x1, x2, x3, ... x98, x99, x100. If you specify a winsorized mean with 5%, the bottom five percent of values (x1, x2, x3, x4 and x5) will be replaced with the next adjacent value in the distribution (x6). Likewise, the top five percent (x96, x97, x98, x99, x100) will be replaced with x95.

When the data are taken from a symmetric distribution, the winsorized mean is an unbiased estimate of the population mean. However, the winsorized mean does not have a normal distribution even if the data are normally distributed.