Frequency Tables
Select
Frequency tables from the
Basic Statistics and Tables - Quick Quick Advanced Options Normality
See also, the Frequency Tables Overview.
Variables
Click the Variables button to display a standard single variable selection dialog box in which you can select the variables for the analyses.
Summary
Click the
Summary button to produce a cascade of frequency tables for the selected variables, one spreadsheet per variable. The manner in which the variables are categorized for the frequency tables is determined by the selection of options in the
Categorization method for tables & graphs box (see the
Advanced Options Normality
Cancel
Click the Cancel button to close the dialog box without performing any analysis and return to the Basic Statistics and Tables 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 is used 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 is used 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.
Wghtd moments
Select the Wghtd moments (Weighted moments) check box to specify that each observation contributes the weighting variable's value for that observation. The weight values need not be integers. This module can use fractional case weights in most computations. Some other modules use case weights as integer case multipliers or frequency values. This option is only available after you have defined a weight variable via the W option described above.
MD deletion
When Casewise deletion of missing data is selected, Statistica will ignore all cases that have missing data for any of the variables selected in the list. When Pairwise deletion of missing data is selected, all valid data points will be included in the analyses for the respective variables (resulting possibly in unequal valid N per variable).
See also, Exploratory Data Analysis (EDA) and Data Mining Techniques.