Naked Statistics: Stripping the Dread from the Data

Naked Statistics: Stripping the Dread from the Data PDF Author: Charles Wheelan
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307

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Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Naked Statistics: Stripping the Dread from the Data

Naked Statistics: Stripping the Dread from the Data PDF Author: Charles Wheelan
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307

Get Book Here

Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Statistical Summaries of Surface-water Hydrologic Data Collected in the Suwannee River Water Management District, Florida, 1906-93

Statistical Summaries of Surface-water Hydrologic Data Collected in the Suwannee River Water Management District, Florida, 1906-93 PDF Author: Marvin A. Franklin
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 186

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Book Description


Hydrologic, Water-quality, Bed-sediment, Soil-chemistry, and Statistical Summaries of Data for the Cambridge, Massachusetts, Drinking-water Source Area, Water Year 2004

Hydrologic, Water-quality, Bed-sediment, Soil-chemistry, and Statistical Summaries of Data for the Cambridge, Massachusetts, Drinking-water Source Area, Water Year 2004 PDF Author: Kirk P. Smith
Publisher:
ISBN:
Category : Drinking water
Languages : en
Pages : 120

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Book Description


The Statistical Analysis of Experimental Data

The Statistical Analysis of Experimental Data PDF Author: John Mandel
Publisher: Courier Corporation
ISBN: 048613959X
Category : Mathematics
Languages : en
Pages : 434

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Book Description
First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.

Statistical Summaries of Streamflow Data in Oregon

Statistical Summaries of Streamflow Data in Oregon PDF Author: Roy E. Wellman
Publisher:
ISBN:
Category : Stream measurements
Languages : en
Pages : 416

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Book Description


Statistical Summaries of Indiana Streamflow Data

Statistical Summaries of Indiana Streamflow Data PDF Author: R. G. Horner
Publisher:
ISBN:
Category : Stream measurements
Languages : en
Pages : 536

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Book Description


Statistical Summaries of Streamflow Data and Characteristics of Drainage Basins for Selected Streamflow-gaging Stations in Arizona Through Water Year 1996

Statistical Summaries of Streamflow Data and Characteristics of Drainage Basins for Selected Streamflow-gaging Stations in Arizona Through Water Year 1996 PDF Author: G. L. Pope
Publisher:
ISBN:
Category : Stream measurements
Languages : en
Pages : 920

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Book Description


ggplot2

ggplot2 PDF Author: Hadley Wickham
Publisher: Springer Science & Business Media
ISBN: 0387981411
Category : Computers
Languages : en
Pages : 211

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Book Description
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

SAS and R

SAS and R PDF Author: Ken Kleinman
Publisher: CRC Press
ISBN: 1420070592
Category : Mathematics
Languages : en
Pages : 325

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Book Description
An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications PDF Author: Gary Miner
Publisher: Academic Press
ISBN: 012386979X
Category : Computers
Languages : en
Pages : 1096

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Book Description
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--