In the Descriptive
Statistics dialog box, select the Options
tab

Options for descriptive statistics. Options selected in this group box only affect the calculations of descriptive statistics.

Display long variable names. Select this check box to display the long variable names (see Variable Specs Editor) along with the short names in the first column of the results spreadsheets. If no long variable names have been specified for any of the selected variables, the setting of this check box has no effect.

Extended precision calculations. Select this check box to use extended precision calculations in your descriptive statistics. Statistica employs proprietary extended precision algorithms in order to minimize round-off error in the computations. This option should be selected if the variables in the analysis show extremely small relative variances (variance divided by the mean), for example, if all values for a variable range between 10000.000001 and 10000.000002 (note that there is a difference between small variance and small relative variance; e.g., the relative variance of values in the range of .0000000000000001 to .0000000000000002 is not small). For extremely large data files with many thousands of cases, the computations may be somewhat slower when this check box is set.

Options for Box-Whisker plots.
Use the check boxes
in this group box to specify which type of box-whisker
plot to produce. If more than one check box is selected, more than
one plot is produced, one for each type of box-whisker plot as requested.
These options apply to the regular Box
& whisker plot for all variables
on the Quick tab as well as the Categorized box

Median/Quartiles/Range. This box plot describes the central tendency of the variable in terms of the median of the values (represented by the smallest box in the plot). The spread (variability) in the variable values is represented in this plot by the quartiles (the 25th and 75th percentiles, larger box in the plot) and the minimum and maximum values of the variable (the whiskers in the plot).

Mean/SE/SD. Here, the smallest box in the plot represents the mean (central tendency) of the variable, while the dispersion (variability) is represented by ± 1 times the standard error (large box) and ± 1 times the standard deviation about the mean ("whiskers").

Mean/SD/1.96*SD. This plot shows the mean (small box in the plot) of the variable surrounded by a larger box (± 1 times the standard deviation). If the distribution is normal, the whiskers in this plot represent a "95% confidence interval" defined as the variable mean ± 1.96 times the variable standard deviation.

Mean/SE/1.96*SE. This plot shows the mean (small box in the plot) of the variable surrounded by a larger box. However, in this plot, the larger box represents ± 1 times the standard error. If the distribution is normal, the whiskers in this plot represent a "95% confidence interval" defined as the variable mean ± 1.96 times the variable standard error.