## PDQ Statistics, Volume 1PDQ Statistics, Third Edition offers an expert overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles. The book covers the major categories - variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples. This third edition includes new chapters on hierarchical and logistic regression, path analysis, and structural equation modeling. PDQ Statistics, Third Edition also helps the reader identify those statistical analyses with basic flaws in design or research. The book's attractive design and humorous writing style make the subject matter accessible and engaging. **Please note that this title is no longer accompanied by CD. |

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#### PDQ Statistics

User Review - schuae07 - Overstock.comA comprehensive and compact book on basic statistics written in a wry tone that is especially useful for those in the scientific fields. Highly recommended for college students who need to understand and use statistics for their work as well as the work of others in the field. Read full review

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This book got me through Johns Hopkins School of Hygiene and Public Health, and turned me into a healthy skeptic during my twenty years of international public health program managing.

A must-have for anyone in public health.

### Contents

1 | |

5 | |

Parametric Statistics | 13 |

Statistical Inference | 14 |

Comparison of Means of Two Samples The t Test | 35 |

Comparison among Many Means Analysis of Variance | 41 |

Relationship between Interval and Ratio Variables Linear and Multiple Regression | 53 |

Analysis of Covariance | 62 |

Advanced Nonparametric Methods | 113 |

Multivariate Statistics | 125 |

Introduction to Multivariate Statistics | 126 |

Multivariate Analysis of Variance | 130 |

Discriminant Function Analysis | 136 |

Exploratory Factor Analysis | 144 |

Path Analysis and Structural Equation Modeling | 156 |

Cluster Analysis | 177 |

Variations on Linear Regression Logistic Regression General Linear Model and Hierarchical Linear Models | 67 |

Time Series Analysis | 78 |

Nonparametric Statistics | 85 |

Nonparametric Tests of Significance | 86 |

Nonparametric Measures of Association | 101 |

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### Common terms and phrases

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