000			03104cam a2200373 i 4500
999			_c288005 _d288005
001			22039381
003			OSt
005			20230704094629.0
008			210518s2022 mau b 001 0 eng
010			_a 2021009317
020			_a9781284225976 _q(paperback)
040			_aDLC _beng _erda _cMUL _dDLC
042			_apcc
050	0	0	_aQH323.5 _b.M467 2022
082	0	0	_a570.15195 _223 _bMER
084			_aEDU000000 _2bisacsh
100	1		_aMerrill, Ray M., _eauthor. _92713
245	1	0	_aPrinciples and applications of biostatistics / _cRay M. Merrill.
250			_aFirst edition.
264		1	_aBurlington, Massachusetts : _bJones & Bartlett Learning, _c[2022]
300			_axvii, 365 pages ; _c28 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"This introductory book in Biostatistics is for students in the areas of biology, health, and medicine. It is intended for a one-semester course. It presents principles and practices of biostatistics in the context of substantive, interesting, and up-to-date applications"-- _cProvided by publisher.
520			_a"Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences-from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples and problems drawn from biological health and medical settings. Key Features: Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. Rationale boxes offer explanations of why certain methods are used for specific cases. Well-designed, attractive graphics that help make statistics easier to comprehend are used to present concepts, functions, and data. Applied focus encourages students to use computer applications (SPSS, R, or MS Excel) to demonstrate data analysis. Data analysis systems are used to obtain descriptive measures and basic plots (e.g. stem-and-leaf and box plots) for the purposes of exploratory data analysis-P-values in hypothesis testing and confidence intervals in descriptive and analytic assessment are discussed and included on many of the computer printouts"-- _cProvided by publisher.
650		0	_aBiometry. _96109
650		7	_aEDUCATION / General _2bisacsh _96141
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK