000			02254nam a2200409 4500
001			OTLid0000060
003			MnU
005			20201105133252.0
006			m o d s
008			180907s2015 mnu o 0 0 eng d
020			_a
040			_aMnU _beng _cMnU
050		4	_aQA1
050		4	_aQA37.3
100	1		_aDiez, David M. _eauthor
245	0	0	_aOpenIntro Statistics _cDavid Diez
250			_aFourth Edition
264		2	_bOpen Textbook Library
264		1	_bOpenIntro
300			_a1 online resource
490	0		_aOpen textbook library.
505	0		_a1. Introduction to data. -- 2. Summarizing data. -- 3. Probability. -- 4. Distributions of random variables. -- 5. Foundations for inference. -- 6. Inference for categorical data. -- 7. Inference for numerical data. -- 8. Introduction to linear regression. -- 9. Multiple and logistic regression.
520	0		_aOpenIntro Statistics covers a first course in statistics, providing a rigorous introduction to appliedstatistics that is clear, concise, and accessible. This book was written with the undergraduate levelin mind, but it's also popular in high schools and graduate courses.We hope readers will take away three ideas from this book in addition to forming a foundationof statistical thinking and methods. • Statistics is an applied field with a wide range of practical applications.• You don't have to be a math guru to learn from real, interesting data.• Data are messy, and statistical tools are imperfect. But, when you understand the strengthsand weaknesses of these tools, you can use them to learn about the world.
542	1		_fAttribution-ShareAlike
546			_aIn English.
588	0		_aDescription based on print resource
650		0	_aMathematics _vTextbooks
650		0	_aApplied mathematics _vTextbooks
700	1		_aBarr, Christopher D. _eauthor
700	1		_aCetinkaya-Rundel, Mine _eauthor
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/60 _zAccess online version
999			_c19500 _d19500