000			02773cam a22003497i 4500
001			22336621
005			20240730121436.0
008			211207t20202019enka e b 001 0 eng
010			_a 2020415464
020			_a9780241258767 (paperback)
040			_aDLC _cDLC _erda
042			_alccopycat
050	0	0	_aQA276.12 _b.S665 2020
082			_a519.5
100	1		_aSpiegelhalter, D. J., _eauthor.
245	1	4	_aThe art of statistics : _blearning from data / _cDavid Spiegelhalter.
250			_aPaperback edition.
264		1	_aUK : _bPelican Books, _c2020.
264		4	_c©2019
300			_axvi, 426 pages : _billustrations ; _c18 cm
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
365			_bRs. 599.00
500			_aOriginally published: 2019.
500			_a"A Pelican book."
504			_aIncludes bibliographical references and index.
505			_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.
650		0	_aStatistics.
650		0	_aStatistics _xSocial aspects.
942			_2ddc _cBK
999			_c212655 _d212655