《SPSS11统计分析教程:基础篇》为《SPSS 11.0统计分析教程》的基础篇，由3部分16章及3个附录组成。主要内容包括：SPSS数据分析实例，数据编辑窗口用法及Transform/Data菜单详解，SPSS编程操作入门，SPSS结果窗口用法和Help菜单详解，常用统计图形的制作和编辑，交互式统计图，报表，描述性统计分析，均数间的比较，非参数统计分析方法，卡方世界及相关分析等。SPSS是世界最为优秀的统计工具之一，深受各行业用户的青睐，SPSS 11.0是其最新版本。
《SPSS11统计分析教程:基础篇》作者从统计专业用户的角度出发，结合自身多年的SPSS使用经验，在以风趣、明快的笔触介绍软件操作的同时，注意将相应的统计学知识融入其中。书中既有深入浅出的软件功能介绍，又有针对实际问题的解决办法，更侧重于对统计新方法、新观点的讲解。

Book Description
Describes the theoretical background behind Statistical Parametric Mapping and provides operational guidelines and technical details on data analysis.
Product Description
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis.
* An essential reference and companion for users of the SPM software
* Provides a complete description of the concepts and procedures entailed by the analysis of brain images
* Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data
* Stands as a compendium of all the advances in neuroimaging data analysis over the past decade
* Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes
* Structured treatment of data analysis issues that links different modalities and models
* Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
From the Back Cover
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis.
Key Features:
* An essential reference and companion for users of the SPM software
* Provides a complete description of the concepts and procedures entailed by the analysis of brain images
* Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data
* Stands as a compendium of all the advances in neuroimaging data analysis over the past decade
* Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes
* Structured treatment of data analysis issues that links different modalities and models
* Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible

Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted?

Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.

Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics.
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.
As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.
"[Harford] expertly guides us through the many ways in which data can trick us….Though numbers are at the core of The Data Detective, it’s emotion that wields … power, affecting not only how we respond to data but also how we absorb it in the first place." —The Wall Street Journal
"The Data Detective is sure to be another success from Harford, and is a powerful tool, especially in the current climate, one that will give readers the confidence to delve into data and statistics in a new and meaningful way." —Booklist
"One of the most wonderful collections of stories that I have read in a long time... fascinating." —Steve Levitt, co-author of Freakonomics
"Few people write about social science with the clarity and wit of Tim Harford. If you’re staggered by statistics or daunted by data, this entertaining romp of a book is essential reading.” —Daniel H. Pink, author of When and Drive
"Nobody makes the statistics of everyday life more fascinating and enjoyable than Tim Harford." —Bill Bryson, author of The Body
“Tim Harford is one of the finest writers of nonfiction. This is another brilliant read: wise, humane, and above all illuminating. Nobody is better on statistics and numbers – and how to make sense of them.” —Matthew Syed, author of Rebel Ideas
“An immensely enjoyable guide to using statistics. I loved it.” —Matt Parker, author of Humble Pi
“We are supremely lucky to have the fabulously readable, lucid, witty, and authoritative Tim Harford to remind us why fact, reason, numbers, clarity, and truth matter, how beautiful they are and how crucial to our understanding of the natural world and human society. Every politician and journalist should be made to read this book.” —Stephen Fry
"In The Data Detective, Tim Harford continues to amuse and instruct the reader with deceptively profound and broad statistical intuition and wisdom. He finds historical precedent for our modern mistakes that are delightful and enlightening and serve to make us hopeful rather than despairing about our future—a feat in itself." —Cathy O’Neil, author of Weapons of Math Destruction
"Thanks to Tim Harford's characteristic wit and magnetic storytelling, you may not realize you're getting an advanced course in how to understand the kind of statistics we're all faced with every day. The Data Detective is certainly a fun book to read, but it's also a genuinely important one." —David Epstein, author of Range
"Tim Harford is a brilliant guide to a world that we humans often find overwhelming and intimidating: the world of data. This entertaining, engrossing book about the power of numbers, logic, and genuine curiosity has, in Harford's own words, 'awakened my sense of wonder' about the beauty of statistics." —Maria Konnikova, author of The Biggest Bluff
"Characteristic lucidity, concealed intellectual depths, wry humour—and a big unifying idea—from one of our finest economic and statistical communicators" —The Independent