000			02425nam a22003858i 4500
001			CR9780511804786
003			UkCbUP
005			20200124160247.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2009||||enk o ||1 0|eng|d
020			_a9780511804786 (ebook)
020			_z9780521112680 (hardback)
020			_z9780521130073 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aHA32 _b.M499 2009
082	0	0	_a330.0285/555 _222
100	1		_aMeyers, Lawrence S., _eauthor.
245	1	0	_aData analysis using SAS Enterprise guide / _cLawrence S. Meyers, Glenn Gamst, A.J. Guarino.
264		1	_aCambridge : _bCambridge University Press, _c2009.
300			_a1 online resource (xix, 378 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThis book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
630	0	0	_aSAS (Computer file)
630	0	0	_aEnterprise guide.
650		0	_aSocial sciences _xStatistical methods _xData processing.
650		0	_aMathematical statistics _xData processing.
700	1		_aGamst, Glenn, _eauthor.
700	1		_aGuarino, A. J., _eauthor.
776	0	8	_iPrint version: _z9780521112680
856	4	0	_uhttps://doi.org/10.1017/CBO9780511804786
999			_c519073 _d519071