000			01806nam a22002657a 4500
005			20240426143026.0
008			240426b |||||||| |||| 00| 0 eng d
010			_a2019944285
020			_a9781541675704
040			_6HSLRC _aHSLRC _cHSLRC
050			_aQA276.12 _b.S65 2019
100			_aSpiegelhalter, D.J. _951149 _eauthor
245			_aThe art of statistic : _bhow to learn from data / _cDavid J. Spiegelhalter
250			_aFirst edition
260			_aNew York : _bBasic Books, _cc2019
300			_axvi, 426 pages : _billustrations ; _c25 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references (pages 407-418) and index.
505			_gIntroduction _tGetting things done in proportion : categorical data and percentages -- 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			_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.--
650			_aStatistics _vPopular works _951150
942			_2lcc _cBK _hCIR _kQA276.12 .S65 _m2019
999			_c94968 _d94968