000			02065nam a2200373 4500
001			OTLid0000746
003			MnU
005			20201105133356.0
006			m o d s
008			190721s2018 mnu o 0 0 eng d
020			_a
040			_aMnU _beng _cMnU
050		4	_aBF121
050		4	_aQA37.3
245	0	0	_aStatistical Thinking for the 21st Century _cRussell Poldrack
264		2	_bOpen Textbook Library
264		1	_bRussell Poldrack
300			_a1 online resource
490	0		_aOpen textbook library.
505	0		_a1 Introduction -- 2 Working with data -- 3 Probability -- 4 Summarizing data -- 5 Fitting models to data -- 6 Data Visualization -- 7 Sampling -- 8 Resampling and simulation -- 9 Hypothesis testing -- 10 Confidence intervals, effect sizes, and statistical power -- 11 Bayesian statistics -- 12 Modeling categorical relationships -- 13 Modeling continuous relationships -- 14 The General Linear Model -- 15 Comparing means -- 16 The process of statistical modeling: A practical example -- 17 Doing reproducible research
520	0		_aStatistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.
542	1		_fAttribution-NonCommercial
546			_aIn English.
588	0		_aDescription based on print resource
650		0	_aPsychology _vTextbooks
650		0	_aApplied mathematics _vTextbooks
700	1		_aPoldrack, Russell A. _eauthor
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/746 _zAccess online version
999			_c20095 _d20095