## The Art of Statistics: How to Learn from DataThe definitive guide to statistical thinkingStatistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive.Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs. |

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#### The Art of Statistics: How to Learn from Data

User Review - Publishers WeeklySpiegelhalter (Sex by Numbers), a University of Cambridge statistician, demonstrates in his intriguing, nontechnical primer how to reliably evaluate even the most extravagant claim. Spiegelhalter’s ... Read full review

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30 days actually algorithm allocated analysis arm-crossing assumed average Bayes factor Bayesian bootstrap bowel cancer Brier score causation chance Chapter claim classification tree coefficient coin complex conclusions confidence intervals correlation data-points effect estimate evidence example father’s flip Galton given Heart Protection Study heart surgery height Higgs boson homicide incidents hospitals hypothesis testing idea known likelihood ratio margin of error mathematical measure median multiple null hypothesis number of homicides number of partners observed odds outcome overall P-value parameters patients Pearson Percentage plot Poisson distribution polls PPDAC prediction probability distribution probability theory problem proportion question random variable reported researchers response ROC curve Ronald Fisher sample mean scientific sexual partners Shipman shows simple standard deviation standard error statins statistical model statistical science statistically significant statisticians summary statistics survey survival rates Table test set Titanic training set treatment trial true underlying women