Comparing Two Variables

Select Comparing two dependent samples (variables) from the Nonparametric Statistics Startup Panel - Quick tab to display the Comparing two variables dialog box, which contains one tab: Quick.

Variables. Click the Variables button to display the standard variable selection dialog box. Use these options to select two variables (or two variable lists) for the various tests and analyses available on the Comparing Two Variables - Quick tab. The variable(s) in the first list will then be compared against the variable(s) in the second list.

Sign test. Click the Sign test button to display either the standard variable selection dialog box or the results of the Sign test (if you have already selected the variables). See Nonparametric Statistic notes - Sign test for a detailed description of this nonparametric test.

Cancel. Click this button to close the dialog box and return to the Nonparametric Statistics Startup Panel.

Options. Click the Options button to display the Options menu.

By Group.  Click the By Group button to display the By Group specification dialog box.

Select Cases. Click the Select Cases button to display the Analysis/Graph Case Selection Conditions dialog box, which contains options to create conditions for which cases will be included (or excluded) in the current analysis. More information is available in the case selection conditions' overview, syntax summary, and dialog description.

W. Click the W (Weight) button to display the Analysis/Graph Case Weights dialog box, which contains options to adjust the contribution of individual cases to the outcome of the current analysis by "weighting" those cases in proportion to the values of a selected variable.

p-value for highlighting. The default p-value for highlighting is .05. You can adjust this p-value by entering a new value in the text box or using the microscrolls. On the summary spreadsheets, STATISTICA will highlight all p-values that are equal to or less than the value specified in this field. For more details on p-value, see Elementary Concepts.