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Record ID marc_nuls/NULS_PHC_180925.mrc:319537481:3699
Source marc_nuls
Download Link /show-records/marc_nuls/NULS_PHC_180925.mrc:319537481:3699?format=raw

LEADER: 03699cam a2200361Ii 4500
001 9925413898901661
005 20191122081206.0
008 190821t20192019nyua b 001 0 eng d
020 $a9781541618510$q(hardcover)
020 $a1541618513$q(hardcover)
035 $a99982261874
035 $a(OCoLC)1112668483
035 $a(OCoLC)on1112668483
040 $aNjBwBT$beng$erda$cPNX$dOCLCO$dOCLCQ$dCLE$dYDX$dUAP$dOCLCF$dLHL$dRCJ$dITD$dEAU$dMNN
050 14 $aQA276.12$b.S67 2019
082 04 $a519.5$223
100 1 $aSpiegelhalter, D. J.,$eauthor.
245 14 $aThe art of statistics :$bhow to learn from data /$cDavid Spiegelhalter.
250 $aFirst US edition.
264 1 $aNew York :$bBasic Books,$c2019.
264 4 $c©2019
300 $axvi, 426 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aOriginally published in March 2019 by Pelican, an imprint of Penguin Books, in the United Kingdom.
504 $aIncludes bibliographical references (pages 407-418) and index.
505 00 $gIntroduction --$tGetting things done in proportion : categorical data and percentages --$tSummarizing and communicating numbers, lots of numbers --$tWhy are we looking at data anyway? : populations and measurement --$tWhat causes what? --$tModelling relationships using regression --$tAlgorithms, analytics and prediction --$tHow sure can we be about what is going on? : estimates and intervals --$tProbability : the language of uncertainty and variability --$tPutting probability and statistics together --$tAnswering questions and claiming discoveries --$tLearning from experience the Bayesian way --$tHow things go wrong --$tHow we can do statistics better --$gIn conclusion.
520 $aShows how to apply statistical reasoning to real-world problems. This isn't simply memorizing formulas or using the tools in a spreadsheet: he emphasizes the importance of clarifying questions, assumptions, and expectations, and--more importantly--knowing how to responsibly interpret the results the software generates.
520 $a"Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs." --$cProvided by publisher.
650 0 $aStatistics$vPopular works.
947 $hCIRCSTACKS$r31786103143415
980 $a99982261874