Basic Statistics Using SAS Enterprise Guide: A Primer
This example-rich guide shows you how to conduct a wide range of statistical analyses with no SAS programming required. For each analysis, one or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided.
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analysis of variance Analysis variable angina assess assign Box Plots censored Chapter chi-square test Classification variables Click Run Cloud Seeding Data Computer confidence interval correlation coefficient Cox regression data in Table default estimated Everitt example Exercise Expired Ventilation explanatory variables F Value Pr feet Filter fitted Graph graphics groups hazard function Heights and Resting Ice Cream Consumption icon infarct interaction Linear Regression Logistic Regression main effects meters Mo_depression Mooring Methods multiple regression model Myocardial Infarctions null hypothesis Number of Observations odds ratio output Oxygen Uptake p-value Pa_history patients Post-Natal Depression Process Flow window rainfall regression coefficient Rename residuals response variable Resting Pulse Rates right-click Open sample SAS data set SAS Enterprise Guide Scatterplot shown in Display shown in Table Source DF Square F Value Summary Statistics sums of squares survival functions t-test Task Roles Pane tumor Type III sums water data set Weight Gain