PDQ Statistics, Volume 1

PMPH-USA, 2003 - Medical - 218 pages
PDQ 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.com

A 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

 Names and Numbers Types of Variables 1 Describing Data 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
 Canonical Correlation 187 Reprise 193 Research Designs 205 Index 210 Copyright