000			02003nam a2200253 a 4500
999			_c33303 _d33303
010			_a2015039990
020			_a9781119097150
020			_a1119097150
082	0	0	_a519.5028553 GO ST
100	1		_aGoos, Peter _913344
245	1	0	_aStatistics with JMP : _bhypothesis tests, ANOVA, and regression _cPeter Goos, David Meintrup
260			_axix, 624 p. : _bWiley, _cc2016.
300			_axvii, 624 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references and index.
520			_aThis book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. Key features: Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested. Pays attention to the usual parametric hypothesis tests as well as to non–parametric tests (including the calculation of exact p–values). Discusses the power of various statistical tests, along with examples in JMP to enable in–sight into this difficult topic. Promotes the use of graphs and confidence intervals in addition to p–values. Course materials and tutorials for teaching are available on the book′s companion website. Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio–science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.
650		0	_aProbabilities _xData processing _913345
650		0	_aMathematical statistics _xData processing _913346
650		0	_aRegression analysis _910679
700	1		_aMeintrup, David _913347
856			_uhttps://uowd.box.com/s/qb1me0s3046evk008bsvl8f0v0cngh64 _zLocation Map