000			03518nam a2200529 i 4500
999			_c936 _d936
001			20760166
003			OSt
005			20220323123445.0
008			181128s20202020at a 001 0 eng d
010			_a 2018965692
020			_a9781473768451 _qpaperback
035			_a(OCoLC)on1105745869
040			_aU3W _beng _cU3W _erda _dYDX _dNAUNA _dUAB _dOCLCF _dOCLCA _dEG-CaTKH
042			_alccopycat
050			_aHF1017
082	0	0	_a519.5 AN.S 2020 _223
100	1		_aAnderson, David R. _q(David Ray), _d1941- _eauthor.
245	1	0	_aStatistics for business & economics / _cDavid R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, James Freeman, and Eddie Shoesmith.
250			_aFifth edition.
264		1	_aBoston, MA : _bCengage, _c2020.
300			_axiv, 636 pages : _billustrations ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aIncludes Index.
505			_aData and statistics - Descriptive statistics : tabular and graphical presentations - Descriptive statistics : numerical measures - Introduction to probability - Discrete probability distributions - Continuous probability distributions - Sampling and sampling distributions - Interval estimation - Hypothesis tests - Statistical inference about means and proportions with two populations - Inferences about population variances - Tests of goodness of fit and independence - Experimental design and analysis of variance - Simple linear regression - Multiple regression - Regression analysis : model building - Time series analysis and forecasting - Non-parametric methods.
520			_aWith its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management and economics, with the needs of the non-mathematician in mind. The authors interweave statistical methodology with applications of data analysis to enrich students' understanding of how statistics underpin problem-solving and decision-making. Students develop a computational foundation and learn to use various techniques before moving on to statistical application and interpretation. At the end of each section, exercises focus on computation and use of formulas, while application exercises require students to apply what they have learnt to real-world problems. WebAssign is available with this title, a powerful digital solution designed by educators to enrich the teaching and learning experience. WebAssign provides extensive content, instant assessment and superior support.
650		0	_aCommercial statistics _xMethodology.
650		0	_aEconomics _xStatistical methods.
650		0	_aStatistics.
700	1		_aSweeney, Dennis J., _eauthor.
700	1		_aWilliams, Thomas A. _q(Thomas Arthur), _d1944- _eauthor.
700	1		_aCamm, Jeffrey D., _d1958- _eauthor.
700	1		_aCochran, James J. _c(Of the University of Alabama), _eauthor.
700	1		_aFreeman, James, _eauthor.
700	1		_aShoesmith, Eddie, _eauthor.
942			_2ddc _cBK
998			_ahuda.mahmoud _bM _d20220323
998			_amona.romia _bR _d20220323
246	3	0	_aStatistics for business and economics
906			_a0 _bibc _ccopycat _d2 _encip _f20 _gy-gencatlg