Ribbon bar. Select the Graphs tab. In the More group, click Input Data Graphs and from the menu, select Box Whisker.

Classic menus. From the Graphs - Graphs of Input Data submenu, select Box-Whisker.

The box plots resulting when you select this command represent the central tendency and variability of the currently highlighted variable. As measures of central tendency, you can choose between plotting the means and medians and their respective measures of variability; standard deviations or standard errors (associated with the means), and ranges (associated with the medians). Choose one of four types of box plots to represent the distribution of the values of the currently highlighted variable.

Mean/SE/1.96*SE. Once again, this plot will show 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, then the "whiskers" in this plot represent a "95% confidence interval" defined as the variable mean ± 1.96 times the variable standard error.

Many other types of box and whisker graphs are available via Statistica's Graphs menu graphs. For a general overview of the graphics facilities in Statistica, see Graphs in Statistica. In order to produce box plots representing the distribution of the values in cases (and not variables), use either the Graphs of Block Data - Custom Graph for Entire Row or Graphs of Block Data - Custom Graph from Block by Row option from the spreadsheet shortcut menu (instead of transposing your data file).