000			03274cam a2200385 i 4500
001			2012024922
003			local
005			20170217154627.0
008			120816s2013 enka b 001 0 eng
010			_a 2012024922
020			_a9780805836516 (hbk.)
020			_a0805836519 (hbk.)
020			_a9780415996006 (pbk.)
020			_a0415996007 (pbk.)
020			_z9780203837375 (ebk.)
040			_aDLC _beng _erda _cDLC _dYDX _dOCLCO _dYDXCP _dBWX
042			_apcc
050	0	0	_aQA276 _bW365 2013
082	0	0	_a519.5 _223
084			_aEDU000000 _aEDU027000 _aEDU037000 _2bisacsh
100	1		_aWare, William B., _eauthor. _0(local)30606
245	1	0	_aIntroductory statistics : _ba conceptual approach using R / _cWilliam B. Ware, University of North Carolina at Chapel Hill, John M. Ferron, University of South Florida, Barbara M. Miller, Elon University.
260			_aLondon : _bRoutledge/Taylor & Francis Group, _c2013.
300			_axx, 497 pages : _billustrations ; _c26 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and indexes.
520			_a"This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. The focus throughout is more on conceptual understanding, the attainment of statistical literacy and thinking than on learning a set of tools and procedures. An organizational scheme built around common issues and problems rather than statistical techniques allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Whenever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following. Conceptual Focus--The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures. Problems and Cases--Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output. Continuity of Examples--A master data set containing nearly all of the data used in the book's examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text. Companion Website--A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises. Field Tested--The manuscript has been field tested for three years at two leading institutions"--
650		0	_aMathematical statistics _vTextbooks. _0(local)30607
650		0	_aR (Computer program language) _0(local)30608
700	1		_aFerron, John M., _eauthor. _0(local)30609
700	1		_aMiller, Barbara Manning, _eauthor. _0(local)30610
942			_2lcc _cBK
999			_c5932 _d5932