基本介紹
- 中文名稱：The Tao of Statistics
- 裝幀：HRD
- 定價：$91.53
- 作者：Keller Dana K.
- 出版社：Sage Pubns
- 出版日期：2005-10
- ISBN：9781412924733
媒體推薦,作者簡介,目錄,
媒體推薦
"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 CHOICE 2005-12-16)
"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." (TechBookReport TechBookReport 2006-02-07)
"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." (Marne Einarson Editors' Book of the Month 2006-08-03)
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. (Camille Z. Charles)
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. (Joan Engebretson)
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. (Erica Watson-Currie)
"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." (TechBookReport TechBookReport 2006-02-07)
"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." (Marne Einarson Editors' Book of the Month 2006-08-03)
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. (Camille Z. Charles)
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. (Joan Engebretson)
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. (Erica Watson-Currie)
作者簡介
Dana K. Keller, PhD, has explored Eastern philosophies for almost five decades, including a journey to China and Tibet. He embraces two very different worlds: the West’s scientific approach to knowledge and the East’s more intuitive and experiential approach. In The Tao of Statistics, he presents a way that the two worlds can mutually benefit. After supervising the research for over 100 doctoral dissertations, he joined the Delmarva Foundation as its chief statistician. During his seven years there, the Centers for Medicare & Medicaid Services named him as a national resource for the nation’s managed care organizations for sampling and research methodology. His almost unique ability to explain statistical and methodological constructs in everyday language has resulted in his being frequently requested as a presenter and technical expert panel member. As president of Halcyon Research, Inc., he continues to bring his ability to explain statistical concepts simply to an ever-widening audience.
目錄
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
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
