MARC Record from marc_columbia

LEADER: 03997cam a2200613Ii 4500
001 14622667
005 20200302092431.0
008 181117t20192019enka b 001 0 eng d
035 $a(OCoLC)on1064776283
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015 $aGBB908222$2bnb
016 7 $a019209316$2Uk
020 $a0241398630$qhardcover
020 $a9780241398630$qhardcover
020 $a9780241258767$qpaperback
020 $a0241258766$qpaperback
020 $z9780241258750$qelectronic publication
029 1 $aUKMGB$b019209316
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035 $a(OCoLC)1064776283
050 4 $aHA29$b.S654 2019
055 3 $aPurchase on request / Achat sur demande
080 $a519.22$bS65
082 04 $a519.5$223
049 $aZCHA
100 1 $aSpiegelhalter, D. J.,$eauthor.
245 14 $aThe art of statistics :$blearning from data /$cDavid Spiegelhalter.
264 1 $a[London] UK :$bPelican, an imprint of Penguin Books,$c2019.
264 4 $c©2019
300 $axvi, 426 pages :$billustrations ;$c23 cm
336 $atext$btxt$2rdacontent
336 $astill image$bsti$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
505 0 $aList of figures -- List of tables -- Acknowledgements -- Introduction -- Getting things in proportion: categorical data and percentages -- Summarizing and communicating numbers. Lots of numbers -- Why are we looking at data anyway? Populations and measurements -- What causes what? -- Modelling relationships using regression -- Algorithims, analytics and prediction -- How sure can we be about what is going on? Estimates and intervals -- Probability the language of uncertainty and variability -- Putting probability and statistics together -- Answering questions and claiming discoveries -- Learning from experience the Bayesian Way -- How things go wrong -- How we can do statistics better -- In conclusion -- Glossary -- Notes -- Index.
520 $aStatistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science
504 $aIncludes bibliographical references and index.
650 0 $aStatistics.
650 2 $aStatistics.
650 7 $aStatistics.$2fast$0(OCoLC)fst01132103
650 7 $aDeskriptive Statistik$2gnd$0(DE-588)4070313-7
650 7 $aKausalität$2gnd$0(DE-588)4030102-3
650 7 $aSchätzung$2gnd$0(DE-588)4193791-0
650 7 $aStichprobe$2gnd$0(DE-588)4057502-0
650 7 $aWahrscheinlichkeit$2gnd$0(DE-588)4137007-7
650 7 $a10.03 methods, techniques and organization of research in the humanities.$0(NL-LeOCL)077593618$2bcl
650 7 $a31.73 mathematical statistics.$0(NL-LeOCL)077602099$2bcl
776 08 $iebook version :$z9780241258750
852 00 $bhsl,stx$hHA29$i.S654 2019