000			02322cam a22002417i 4500
005			20240319104100.0
008			211207t20202019enka e b 001 0 eng
010			_a 2020415464
020			_a9780241258767 (paperback)
040			_cTBS
050	0	0	_aQA276.12 _b.S665 2020
100	1		_aSpiegelhalter, D. J., _eauthor.
245	1	4	_aThe art of statistics : _blearning from data / _cDavid Spiegelhalter.
250			_aPaperback edition.
300			_axvi, 426 pages : _billustrations ; _c18 cm
500			_aOriginally published: 2019.
500			_a"A Pelican book."
505			_aGetting Things in Proportion: Categorical - Data and Percentages - Summarizing and Communicating - Numbers. Lots of Numbers - Why Are We Looking at Data Anyway? - Populations and Measurement - What Causes What? - Modelling Relationships Using Regression - Algorithms, 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
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 _xSocial aspects
942			_2lcc _c1
999			_c3465 _d3465
041			_aEnglish