Summary Statistics
In the
Summary Statistics task, you can produce summary information for quantitative variables. You can also specify classification
variables to define subgroups, select the statistics that are to be computed, request a box-and-whisker plot, specify an
output data set, and specify By group, weight, and frequency variables. In addition, you can produce comparative histograms
and box plots for variables measured at different levels of a classification variable.
Distributions
The Distributions task enables you to examine the distribution of one or more variables in the data set. The simplest analysis produces descriptive statistics for each selected variable, including moments and quantiles. You can request plots such as cumulative distributions, histograms, and probability-probability plots. In addition, you can customize the analysis by fitting the data to various distributions or by specifying By group, weight, or frequency variables, and you can save the results to an output data set.
Correlations
You can use the Correlations task to compute correlation coefficients for variables in the data set. The correlation is a measure of the strength of the linear relationship between two variables. You can compute the standard Pearson product-moment correlations as well as nonparametric measures of association, partial correlations, and Cronbach's coefficient alpha. You can specify what statistics are to be produced, request scatter plots, output results to a data set, and specify weight, By group, and frequency variables, as well as the variables used to calculate partial correlations.
One-Way Frequency Counts
In the Frequency Counts task, you can compute one-way frequency tables for one or more of the variables in the data set. For each value of the variable, the frequency, cumulative frequency, and cumulative percentage can be produced. You can control the order in which the values appear and specify By group and count variables in the Variables dialog. For two-way frequency analyses, see Table Analysis.
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