000 04528nam a2200637 i 4500
001 6813547
003 IEEE
005 20200413152845.0
006 m eo d
007 cr cn |||m|||a
008 071003s2007 caua ob 000 0 eng d
020 _a1598291971 (electronic bk.)
020 _a9781598291971 (electronic bk.)
020 _a1598291963 (pbk.)
020 _a9781598291964 (pbk.)
024 7 _a10.2200/S00095ED1V01Y200708BME014
_2doi
035 _a(CaBNVSL)gtp00531396
035 _a(OCoLC)173650355
040 _aAZS
_cAZS
_dCaBNVSL
050 4 _aRA409
_b.R675 2007
082 0 4 _a610.72
_222
090 _a
_bMoCl
_e200708BME014
100 1 _aRopella, Kristina M.
_q(Kristina Marie),
_d1963-
245 1 0 _aIntroduction to statistics for biomedical engineers
_h[electronic resource] /
_cKristina M. Ropella.
260 _aSan Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) :
_bMorgan & Claypool Publishers,
_cc2007.
300 _a1 electronic text (viii, 93 p. : ill. ) :
_bdigital file.
490 1 _aSynthesis lectures on biomedical engineering,
_x1930-0336 ;
_v#14
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
500 _aPart of: Synthesis digital library of engineering and computer science.
500 _aSeries from website.
504 _aIncludes bibliographical references (p. 91).
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 1 _aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 _aGoogle book search
510 0 _aINSPEC
510 0 _aGoogle scholar
510 0 _aCompendex
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.
588 _aTitle from PDF t.p. (viewed on Nov. 4, 2008).
650 0 _aBiometry.
650 0 _aBiomedical engineering
_xStatistical methods.
650 0 _aMedical statistics.
690 _aPower test.
690 _aConfidence interval.
690 _aNormal distribution.
690 _aANOVA.
690 _aPhysiology.
690 _aHypothesis testing.
690 _aProbability model.
730 0 _aSynthesis digital library of engineering and computer science.
830 0 _aSynthesis lectures on biomedical engineering,
_x1930-0336 ;
_v#14.
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813547
856 4 2 _3Abstract with links to resource
_uhttp://dx.doi.org/10.2200/S00095ED1V01Y200708BME014
999 _c561504
_d561504