Ribbon bar. Select the Statistics tab. In the Base group, click Basic Statistics to display the Basic Statistics and Tables Startup Panel.

Classic menus. From the Statistics menu, select Basic Statistics/Tables to display the Basic Statistics and Tables Startup Panel.

The Startup Panel contains one tab: Quick.

See also, the Basic Statistics and Tables Index, Overviews, and Examples.

Descriptive statistics. Select Descriptive statistics on the Basic Statistics and Tables - Quick tab and click the OK button to display the Descriptive Statistics dialog box. You can also double-click Descriptive statistics to display the dialog box. Use the options in the Descriptive Statistics dialog box to produce descriptive summary statistics, simple frequency tables, and summary graphs. The available statistics are further described in the documentation for the Descriptive Statistics dialog box topic.

Correlation matrices. Select Correlation matrices on the Basic Statistics and Tables - Quick tab and click the OK button to display the Product-Moment and Partial Correlations dialog box. You can also double-click on Correlation matrices to display the dialog box. Use the options in the Product-Moment and Partial Correlations dialog box to compute Pearson product-moment correlations (Pearson r). STATISTICA can compute square and rectangular matrices, using pairwise or casewise deletion of missing data. Numerous accompanying statistics (including significance levels, means, standard deviations, etc.) can also be computed. Various 2D and 3D graphs can be created in order to visualize the relationships among variables. For further details concerning available options refer to the Product-Moment and Partial Correlations dialog box topic. Additional nonparametric alternatives to the Pearson product-moment are available for crosstabulation tables (see the description of the Crosstabulation Tables Results dialog box; or the brief description of statistics), as well as via the Nonparametric Statistics module.

t-test, independent, by groups. Select t-test, independent, by groups on the Basic Statistics and Tables - Quick tab and click the OK button to display the T-Test for Independent Samples by Groups dialog box. You can also double-click on t-test, independent, by groups to display the dialog box. Use the options in the T-Test for Independent Samples by Groups dialog box to compute the t-test for independent samples or groups (for example, to compare the responses of male and female respondents to a question on a survey). For this option, the data file needs to be arranged so that each case represents one individual, identified by a grouping variable. Various graphs are available to aid in the interpretation of results (see the description of the T-Test for Independent Samples by Groups dialog box). Significance of difference between a group mean and population or expected means can be tested using the Probability Calculator. The Probability Calculator can also be used to test differences between proportions. Nonparametric alternatives to the t-test for independent samples are also available in the Nonparametric Statistics module.

t-test, independent, by variables. Select t-test, independent, by variables on the Basic Statistics and Tables - Quick tab and click the OK button to display the T-Test for Independent Samples by Variables dialog box. You can also double-click on t-test, independent, by variables to display the dialog box. Use the options in the T-Test for Independent Samples by Variables dialog box to compute t-tests if the data were entered such that each column (variable) in the data file represents the data for one group. Various graphs are available to aid in the interpretation of results (see the description of the T-Test for Independent Samples by Variables dialog box). Significance of difference between a group mean and population or expected means can be tested using the Probability Calculator. The Probability Calculator can also be used to test differences between proportions. Nonparametric alternatives to the t-test for independent samples are also available in the Nonparametric Statistics module.

t-test, dependent samples. Select t-test, dependent samples on the Basic Statistics and Tables - Quick tab and click the OK button to display the T-Test for Dependent Samples dialog box. You can also double-click on t-test, dependent samples to display the dialog box. Use the options in the T-Test for Dependent Samples dialog box to compute t-tests for dependent or correlated samples (for example, to compare the responses from the same persons to a question on a survey before and after an election). Both individual t-tests as well as matrices of t-tests can be computed. Various graphs are available to aid in the interpretation of results (see the description of the t-Test for Dependent Samples dialog box). Nonparametric alternatives to the t-test for dependent samples are also available in the Nonparametric Statistics module.

t-test, single sample. Select t-test, single sample on the Basic Statistics and Tables - Quick tab and click the OK button to display the T-Test for Single Means dialog box. You can also double-click on t-test, single sample to display the dialog box. Use the options in the T-Test for Single Means dialog box to compute a t-test for a single sample (for example, to determine whether the average life of a set of tires is actually 50,000 miles). Both individual t-tests as well as matrices of t-tests can be computed. Various graphs are available to aid in the interpretation of results (see the description of the t-Test for Single Means dialog box). Nonparametric alternatives to the t-test for single samples are also available in the Nonparametric Statistics module.

Breakdown & one-way ANOVA. Select Breakdown & one-way ANOVA on the Basic Statistics and Tables - Quick tab and click the OK button to display the Statistics by Groups (Breakdown) dialog box. You can also double-click on Breakdown & one-way ANOVA to display the dialog box. Use the options in the Statistics by Groups (Breakdown) dialog box to compute various descriptive statistics broken down by groups (e.g., by gender and age group). Specifically, you can compute - broken down by groups - various descriptive statistics (e.g., means, standard deviations, etc.), correlation matrices, summary graphs, etc. This analysis also enables you to perform complete one-way ANOVA's, and provides tests of the homogeneity of variances and post-hoc tests of mean differences. Refer to the Statistics by Groups Results dialog box topic for a more detailed description of the available statistics.

Breakdown; non-factorial tables. Select Breakdown; non-factorial tables on the Basic Statistics and Tables - Quick tab and click the OK button to display the Statistics BreakDown (non-factorial) dialog box. You can also double-click on Breakdown; non-factorial tables to display the dialog box. Use the options in the Statistics BreakDown (non-factorial) dialog box to compute various descriptive statistics broken down by groups identified by unique combinations of values on the breakdown variables. Unlike the Breakdown & one-way ANOVA option, the groups specified in the data do not need to define a full factorial table, but can, for example be nested (e.g., Cities and States: Cities will be nested within states, so for example, the city TULSA would only appear once, and in combination with state OKLAHOMA). You can compute - broken down by groups - various descriptive statistics (e.g., means, standard deviations, etc.).

Frequency tables. Select Frequency tables on the Basic Statistics and Tables - Quick tab and click the OK button to display the Frequency Tables dialog box. You can also double-click on Frequency tables to display the dialog box. Use the options in the Frequency Tables dialog to compute and review the distribution of variables. Frequency tables can be computed for categorical variables, variables containing integer values, or for continuous variables. You can also define categories for frequency counts by specifying logical selection (categorization) conditions for assigning cases to categories. A number of tests for the normal distribution are also available. For a description of available options refer to the Frequency Tables dialog box topic. Additional distribution fitting methods (for non-normal distributions) are available in the Distribution Fitting module and the Survival Analysis module.

Tables and banners. Select Tables and banners on the Basic Statistics and Tables - Quick tab and click the OK button to display the Crosstabulation Tables dialog box. You can also double-click on Tables and banners to display the dialog box. Use the options in the Crosstabulation Tables dialog box to compute crosstabulation tables. Statistica will compute various statistics for two-way tables as well as a wide variety of 2D and 3D graphical summaries (see the description of the Crosstabulation Tables Results dialog box).

Multiple response tables. Select Multiple response tables on the Basic Statistics and Tables - Quick tab and click the OK button to display the Multiple Response Tables dialog box. You can also double-click on Multiple response tables to display the dialog box. Use the options in the Multiple Response Tables dialog box to compute crosstabulation tables for multiple response and multiple dichotomy variables. Statistica will compute various statistics for two-way tables as well as a wide variety of 2D and 3D graphical summaries (see the description of the Multiple Response Table Results dialog box).

Difference tests: r, %, means. Select Difference tests: r, %, means on the Basic Statistics and Tables - Quick tab and click the OK button to display the Difference Tests: R, %, Means dialog box. You can also double-click on Difference tests: r, %, means to display the dialog box. Use the options in the Difference Tests: R, %, Means dialog to perform various statistical tests for differences between correlations, means, and proportions. Refer to the Difference Tests dialog box topic for more information.

Probability calculator. Select Probability
calculator on the Basic Statistics
and Tables - Quick tab
and click the OK button to display
the Probability
Distribution Calculator. You can also double-click on Probability
calculator to display the Calculator.
Use the options

1. The significance levels for the common statistical distributions (e.g., t, Chi-square, F, z);

2. The "critical values" for selected distributions given user-specified probabilities;

Refer to the Probability Distribution Calculator dialog box topic for detailed descriptions of the available options.

OK. After you have selected the type of analysis to perform via the Quick tab, click the OK button to display the specified dialog box.

Cancel. Click the Cancel button to close Basic Statics and Tables without performing an analysis.

Options. See Options Menu for descriptions of the commands on this menu.

Open Data. Click the Open Data button to display the Select Data Source dialog box, which is used to choose the spreadsheet on which to perform the analysis. The Select Data Source dialog box contains a list of the spreadsheets that are currently active.

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 and syntax summary.

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.