The Tao Of Statistics

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Overview

The Tao of Statistics: A Path to Understanding (With No Math) provides a new approach to statistics in plain English. Unlike other introductions to statistics, this text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers through basic concepts, as well as some of the most complex statistical models in use. Professionals and college students who want to be informed about statistics but do not want to spend a lot of time learning to how compute them should not be without this volume.

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Editorial Reviews

Choice Magazine
"This book represents a delightful new approach to some of the most complex statistical topics using no math...His book focuses on the value of understanding statistics, not merely performing calculations. "— D. J. Gougeon
Tech Book Report
"This makes a great companion to a stats class...If you are interested in gaining a deeper understanding of the results of those computations then this book has a lot to offer."
CHOICE - D.J. Gougeon
"This book represents a delightful new approach to some of the most complex statistical topics using no math...His book focuses on the value of understanding statistics, not merely performing calculations. "
Editors' Book of the Month - Marne Einarson
"Keller discusses each concept in a manner that is refreshingly clear, sometimes wryly funny but always respectful. It is an engaging primer that encourages greater understanding of the ambiguities of statistics. So for the statistical novices among us, or those who haven't cracked open a statistics book since their undergraduate years, or even those who are well-versed in statistics but sometimes struggle with explaining them to non-statisticians, this little book offers and appealing tone, clear, and concise explanations, and many practical examples that might help to either grasp or convey a variety of statistical concepts."
CHOICE - D. J. Gougeon
"This book represents a delightful new approach to some of the most complex statistical topics using no math...His book focuses on the value of understanding statistics, not merely performing calculations."
TechBookReport
"This makes a great companion to a stats class...If you are interested in gaining a deeper understanding of the results of those computations then this book has a lot to offer."
Camille Z. Charles
This is a terrific way to help the students understand the limitations of statistics, but also to understand what various concepts mean. I very much like the Zen/Buddhist approach in that it relieves anxiety and also encourages mindfulness and acceptance of the limitations of statistics and the importance of being consciously mindful of these limitations when using them and interpreting them, and reading what other people say about the world based on their own statistical analyses.
Joan Engebretson
I think approaching statistics from a pragmatic perspective of how/why used is a wonderful perspective that is often missing from graduate statistics courses.... I liked the book and appreciated the brevity of the chapters. I really liked the examples and felt they were important and relevant.
Erica Watson-Currie
This book's strengths are its brevity and understandability. Stripping out the math not only helps relieve students’ anxiety, it showcases the inherent beauty of the ideas behind statistical analyses.
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Product Details

  • ISBN-13: 9781412924733
  • Publisher: SAGE Publications
  • Publication date: 8/1/2005
  • Pages: 168
  • Sales rank: 1,344,555
  • Product dimensions: 5.50 (w) x 8.50 (h) x 0.50 (d)

Meet the Author

Dana Keller received his Ph.D. in Measurement, Statistics, and Evaluation from the University of Delaware. As a professor, he supervised the research for over 100 doctoral dissertations. As Chief Statistician for a $30 million nonprofit foundation, he was influential in establishing and implementing state and federal policies. He has explained research methodology, how it can be used, how it is often misused, and how to place it in its proper context throughout the United States and in places as far-reaching as Tibet. His informal presentation style facilitates a comfortable understanding of research in its appropriately restricted context. Dr. Keller can be reached at dana@halcyonresearch.com.

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Table of Contents

Introduction
The Beginning-The Question
Ambiguity-Statistics
Fodder-Data
Data-Measurement
Data Structure-Levels of Measurement
Nominal
Ordinal
Interval
Ratio
Simplifying-Groups & Clusters
Counts-Frequencies
Pictures-Graphs
Scatterings-Distributions
Bell Shaped-The Normal Curve
Lopsidedness-Skewness
Averages-Central Tendencies
Mean
Median
Mode
Two Types-Descriptive & Inferential
Foundations-Assumptions
Wiggle-Room-Robustness
Consistency-Reliability
Truth-Validity
Unpredictable-Random
Precision-Sampling
Mistakes-Error
Real or Not-Outliers
Impediments-Confounds
Nuisances-Covariates
Background-Independent Variables
Targets-Dependent Variables
Inequality-Standard Deviations & Variance
Prove-No, Falsify
No Difference-The Null Hypothesis
Reductionism-Models
Risk-Probability
Uncertainty-p Values
Expectations-Chi-Square
Importance vs. Difference-Substantive vs. Statistical Difference
Strength-Power
Likely Range-Confidence Intervals
Association-Correlation
Predictions-Multiple Regression
Abundance-Multivariate Analyses
Differences-t Tests & Analysis of Variance
ANOVA
ANCOVA
MANOVA
MANCOVA
Differences That Matter-Discriminant Analyses
Both Sides Loaded-Canonical Covariance Analysis
Nesting-Hierarchical Models
Cohesion-Factor Analysis
Ordered Events-Path Analysis
Digging Deeper-Structural Equation Models
Fiddling-Modifications & New Techniques
Epilogue

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