000			03801nam a2200457 a 4500
001			1morganclaypool200708bme014
003			APU
005			20150821111358.0
007			cr cn |||m|||a
008			071003s2007 caua sb 000 0 eng d
020			_a9781598294491 (hbk.)
035			_a(CaBNvSL)gtp00531396
040			_aAZS _beng _cAZS _dSUE
050	0	0	_aRA409 _b.R67 2007
082	0	0	_221 _a610.28 _bROP 2007
100	1		_aRopella, Kristina M. _q(Kristina Marie), _d1963- _916874
245	1	0	_aIntroduction to statistics for biomedical engineers / _cKristina M. Ropella.
260			_aSan Rafael, Calif. : _bMorgan & Claypool Publishers, _cc2007.
300			_aviii, 93 p. : _bill. ; _c24 cm.
490	1		_aSynthesis lectures on biomedical engineering, _x1930-0336 ; _v#14.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aTitle from PDF t.p. (viewed on Nov. 4, 2008)
500			_aSeries from website.
504			_aIncludes bibliographical references .
505	0		_aCollecting data and experimental design -- Data summary and descriptive statistics -- Why do we collect data? -- Why do we need statistics? -- What questions do we hope to address with our statistical analysis? -- How do we graphically summarize data? -- General approach to statistical analysis -- Descriptive statistics -- Assuming a probability model from the sample data -- The standard normal distribution -- The normal distribution and sample mean -- Confidence interval for the sample mean -- The t distribution -- Confidence interval using t distribution -- Statistical inference -- Comparison of population means -- Comparison of two variances -- Comparison of three or more population means -- One-factor experiments -- Linear regression and correlation analysis -- Power analysis and sample size -- Power of a test -- Power tests to determine sample size -- Just the beginning.
506			_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex.
510	0		_aINSPEC.
510	0		_aGoogle scholar.
510	0		_aGoogle book search.
520			_aThere are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data.
530			_aAlso available in print.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
650		0	_aMedical statistics. _916875
650		0	_aBiomedical engineering _xStatistical methods. _916876
650		0	_aBiometry. _916877
730	0		_aSynthesis digital library of engineering and computer science. _916281
830		0	_aSynthesis lectures on biomedical engineering, _v#14. _916878
942			_2lcc _cBook
999			_c8892 _d8892