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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