000			01898nam a2200289 i 4500
999			_c6152 _d6152
001			90379
003			0000000000
005			20180209135848.0
008			060123s2005 000 0 eng d
020			_a0534378056
035			_a(AEA)A8DB1227C2EA4FA0A6E77E14F249C598
040			_aAEA-IRC _cAEA-IRC _dAEA-IRC _erda
050			_aHD 30.215 _b.H544b 2005
100	1		_aHildebrand, David K., _d1940- _921277
245	1	0	_aBasic statistical ideas for managers / _cDavid K. Hildebrand, R. Lyman Ott, J. Brian Gray ; with cases by Brian Gray, Lawrence H. Peters.
250			_a2nd ed.
260			_aAustralia : _bThomson Brooks/Cole, _c[2005]
264		1	_aAustralia : _bThomson Brooks/Cole, _c[2005]
264		4	_ccopyright 2005
265			_aGBS
300			_axvii, 772 p. : _bill. ; _c26 cm. + _e1 CD-ROM (4 3/4 in.)
336			_atext _2rdacontent
338			_avolume _2rdacarrier
520			_aDesigned for the one-term MBA or undergraduate introduction to business statistics course, this text places emphasis on data and the common techniques and methods used to analyze them in business. It introduces concepts using practical examples and illustrates them with computer output from MINITAB?, Microsoft Excel, and JMP. The book integrates a business decision-making case into each chapter for motivational and illustration purposes and includes a business case assignment at the end of each chapter. These cases revolve around realistic business settings with realistic data sets that put students in the role of managers who need to make business decisions based on data. Review problems requiring students to use previously learned concepts also appear throughout to promote understanding of the relationships among statistical methods.
650		7	_aManagement _xStatistical methods. _2sears _921263
650		7	_aStatistical decision. _2sears _921278
700	1		_aOtt, R. Lyman. _921279
700	1		_aGray, J. Brian. _921280
942			_2lcc _cGS
984			_a044365 _blpg