Workspace Node: Fit Distributions - Results - Quick Tab
In the Fit Distributions node dialog box, under the Results heading, select the Quick tab to access the following options.
Element Name | Description |
---|---|
Variables / << Prev. / Next >>. | When more than one variable is selected for the analysis, you can switch between them via the << Prev. and Next >> buttons, or use the Variables drop-down menu. |
Distributions / << Prev. / Next >>. | When more than one distribution is specified for the selected variable, you can switch between them via the << Prev. and Next >> buttons, or use the Distribution drop-down menu. |
Summary statistics | Select this check box to create a spreadsheet that contains descriptive statistics (e.g. mean, standard deviation, etc.) for the currently selected variable. |
Summary graph | Select this check box to produce a compound graph for the selected variable consisting of a histogram, normal probability plot, box plot, and descriptive statistics. |
Distribution summary statistics | Select this check box to produce the parameter estimation and goodness of fit tests results for each selected distribution for the currently selected variable. |
Empirical CDF plot | Select this check box to produce a graph that consists of the empirical CDF, the theoretical CDF of the currently selected distribution, and 95% confidence bands for the sample CDF. |
Histogram with fit | Select this check box to produce a histogram with the theoretical density function of the currently selected distribution superimposed over the observed frequencies. |
Cumulative histogram | Select this check box to produce a cumulative histogram with the theoretical cumulative function of the currently selected distribution superimposed over the observed cumulative frequencies. |
P-P plot | Select this check box to produce a P-P plot. In the P-P (probability-probability) plot, the observed cumulative distribution function is plotted against the theoretical cumulative distribution function for the same values. If the selected distribution provides a good fit to the observed data, then all data points will fall onto the diagonal in this plot. See also, Conceptual Overviews - Probability-Probability Plots. |
Q-Q plot | Select this check box to produce a Q-Q plot. To produce a Q-Q plot, Statistica first sorts the N observed data points into ascending order, so that:
x(1) <=.x(2) <= ... <=.x(n) These observed values are plotted against one axis of the graph; on the other axis the plot shows: F-1 ((i-radj )/(n+nadj )) where i is the rank of the respective observation, radj and nadj are adjustment factors (<= 0.5) and F-1 denotes the inverse of the probability integral for the selected standardized distribution. See also, Conceptual Overviews - Quantile-Quantile Plots. |
Box plot | Select this check box to produce a box and whisker plot for the selected variable. The box and whisker plot will summarize each variable by three components:
A central circle to indicate the mean; a box to indicate the mean plus/minus the standard deviation; whiskers around the box to indicate the mean plus/minus 1.96*standard deviation (hence, if your data follows the normal distribution, 95% of your data should fall within the whiskers). Options / C / W. See Common Options. |
OK | Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project. |