000			02020nam a2200265 a 4500
001			ASIN0023805811
003			AUCL
005			20201104142110.0
008			121215s1995 xxu eng d
020			_a0023805811 (hardcover) _c$127.60
020			_a9780023805813 (hardcover)
040			_caui
082			_221 _a 519.5 _bMEN
100	1		_aMendenhall, William.
245	1	0	_aStatistics for engineering and the sciences / _cWilliam Mendenhall, Terry L. Sincich.
250			_a4th ed.
260			_a[S.l.] : _bPrentice Hall, _c1995
300			_a1008 p. ; _c25 cm.
490	1		_a4th edition.
520			_aThis book illustrates basic statistical concepts with extensive applications in engineering and scientific contexts. The book includes optional theoretical exercises, allowing readers who choose to emphasize theory to do so with requiring additional materials. The fourth edition contains SAS and MINITAB computer printout results for all analyses performed���plus new exercises based on magazine and journal articles and news reports. KEY TOPICS: A section on "Detecting Normal Distributions" (Chapter 5) gives readers insights on when it is reasonable to assume that underlying data is normally distributed. There is a comprehensive example on model building (Chapter 13) and emphasis on the regression approach to a Nova (also presents the traditional approach). There are two sections discussing principles of experimental design, i.e., noise-reducing and volume-increasing design, a section on "Total Quality Management" and coverage of statistical computing. There are optional, calculus-based theoretical exercises, and real data sets, extracted from scientific studies, are provided in an appendix. Numerical answers to all applied exercises are included in an appendix���giving readers immediate feedback on their wo
700			_aSincich, Terry
830			_a4th editi
856			_3Amazon.com _uhttp://www.amazon.com/exec/obidos/ASIN/0023805811/chopaconline
942			_2ddc _cBK
999			_c2969 _d2969