## Basic Statistics Using SAS Enterprise Guide: A PrimerThis 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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### Contents

1 | |

Data Description and Simple Inference | 31 |

Dealing with Categorical Data | 61 |

Dealing with Bivariate Data | 79 |

Analysis of Variance | 107 |

Multiple Linear Regression | 139 |

Logistic Regression | 171 |

Survival Analysis | 191 |

215 | |

217 | |

### Other editions - View all

Basic Statistics Using SAS Enterprise Guide: A Primer Geoff Der,Brian S. Everitt No preview available - 2007 |

### Common terms and phrases

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