| Means and standard deviations 
				   
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				Button 
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				Displays a spreadsheet with the descriptive statistics for the variables in the analysis. If a raw data file is analyzed (i.e., raw data was specified on the 
				  Canonical Analysis Startup Panel - 
				  Quick tab) a particularly useful Graph of Input Data for that spreadsheet is the histogram with fitted normal distribution. 
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				| Correlations 
				   
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				Button 
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				Displays a spreadsheet with the current correlation matrix. If a raw data file is analyzed ( raw data was specified on the 
				  Canonical Analysis Startup Panel - 
				  Quick tab) a particularly useful Graph of Input Data for that spreadsheet is the scatterplot with the fitted regression line. 
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				| Covariances 
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				Button 
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				Displays a spreadsheet with the current covariance matrix. If a raw data file is analyzed (raw data was specified on the 
				  Canonical Analysis Startup Panel - 
				  Quick tab) a particularly useful Graph of Input Data for that spreadsheet is the scatterplot with the fitted regression line. 
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				| Box and whisker plot of vars 
				   
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				Button 
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				Produces box and whisker plots for the variables in the current analysis. The box and whisker plot will summarize each variable by three components: 
				   
					 - A central line to indicate central tendency or location 
					 
 
 
					 - A box to indicate variability around this central tendency 
					 
 
 
					 - Whiskers around the box to indicate the range of the variable 
					 
 
 
				   
 
				  After clicking the 
					  Box & whisker plot of vars button and selecting variables from the resulting Select Variables dialog box, the 
					  Box-Whisker Type dialog box will be displayed, in which you can choose to plot for each variable by selecting the appropriate option described here: 
				    
					 - Median/Quart./Range: 
						Medians (central line), quartiles (box), and ranges (whiskers); note that the specific method that is used to compute these values can be configured via the Computation of percentiles box in the Options dialog box - Analyses/Graphs: Limits tab. 
					 
 
 
					 - Means/SE/SD: 
						Means, standard errors of the means, and standard deviations. 
					 
 
 
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						Means/SD/1.96*SD: 
						Means, standard deviations, and 1.96 times the standard deviations (95% normal confidence interval for individual observations around the mean). 
					 
 
 
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						Means/SE/1.96*SE: 
						Means standard errors of the means, and 1.96 times the standard errors of the means (95% normal confidence interval for means). 
					 
 
 
				   
 
				   
 
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				| Matrix plot of correlations 
				   
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				Button 
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				Displays a matrix scatterplot for the variables selected for the analysis. 
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				| SD=sqrt(Sums of Squares)/N 
				   
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				There are two ways in which standard deviations can be computed: as the sums of (deviation) squares divided by N (the valid number of cases) or N-1. If divided by N-1, the resulting standard deviations are estimates of the standard deviations in the population (Sigma); if divided by N, then the resulting standard deviations are descriptions of the sample only. Selecting the SD=Sums of Squares/N check box will not affect the subsequent computations for the canonical analysis. 
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