Tao of Statistics A Path to Understanding (with No Math)

ISBN-10: 1412913144
ISBN-13: 9781412913140
Edition: 2006
Authors: Dana K. Keller
List price: $38.00
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Description: 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  More...

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Book details

List price: $38.00
Copyright year: 2006
Publisher: SAGE Publications, Incorporated
Publication date: 8/5/2005
Binding: Paperback
Pages: 168
Size: 5.25" wide x 8.25" long x 0.25" tall
Weight: 0.440
Language: English

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.nbsp;nbsp; Features and Benefits: Covers basic statistics in an accessible fashion without emphasizing computation Covers the field more broadly than any other text like it Is ideal for readers who do not consider themselves good at math, have little interest in computing statistics, or just want to understand them Each concept is presented via impressions from a verse, an illustration, and 300 to 900 words of text.

Dana K. Keller, PhD , has explored Taoism and other Eastern philosophies for more almost five decades, with journeying to and teaching in China and Tibet as parts of that exploration. He embraces two very different worlds, the West with its scientific approach to knowledge and the East with its more balanced approach to experiencing life. In The Tao of Statistics, he presents a way that the two worlds can coexist harmoniously and benefit from each other. His PhD is in measurement, statistics, and program evaluation. After supervising the research component for more than 100 doctoral dissertations and serving as a charter member of Delaware's Panel of Evaluation Experts, he joined the Delmarva Foundation as its chief statistician. During his 7 years serving in that capacity, the Centers for Medicare & Medicaid Services named him as a recommended national resource for the nation's managed care organizations for resolving complex sampling and research issues. His almost unique ability to explain statistical and methodological constructs in everyday language has resulted in his being requested frequently as a presenter and technical expert panel member in the public health community. Now president of Halcyon Research, Inc., he continues to bring his ability to explain statistical concepts simply to an ever-widening audience. He can be reached at dana@halcyonresearch.com.

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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