Introduction to Statistics for Biomedical Engineers - Kristina M. Ropella.pdf

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Introduction to Statistics
for Biomedical Engineers
Copyrght © 2007 by Morgan & Claypool
All rghts reserved. No part of ths publcaton may be reproduced, stored n a retreval system, or transmtted n
any form or by any means—electronc, mechancal, photocopy, recordng, or any other except for bref quotatons n
prnted revews, wthout the pror permsson of the publsher.
Introducton to Statstcs for Bomedcal Engneers
Krstna M. Ropella
www.morganclaypool.com
ISBN: 1598291963 paperback
ISBN: 9781598291964 paperback
ISBN: 1598291971 ebook
ISBN: 9781598291971 ebook
DOI: 10.2200/S00095ED1V01Y200708BME014
A Publcaton n the Morgan & Claypool Publshers seres
SYNTHESIS LECTURES ON BIOMEDICAL ENGINEERING #14
Lecture #14
Seres Edtor: John D. Enderle, Unversty of Connectcut
Series ISSN
ISSN 1930-0328 prnt
ISSN 1930-0336 electronc
Introduction to Statistics
for Biomedical Engineers
Kristina M. Ropella
Department of Bomedcal Engneerng
Marquette Unversty
SYNTHESIS LECTURES ON BIOMEDICAL ENGINEERING #14
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This text is dedicated to all the students who have completed my BIEN 084
statistics course for biomedical engineers and have taught me how to be
more effective in communicating the subject matter and making statistics
come alive for them. I also thank J. Claypool for his patience and
for encouraging me to inally put this text together.
Finally, I thank my family for tolerating my time at home on the laptop.
ABSTRACT
There are many books wrtten about statstcs, some bref, some detaled, some humorous, some
colorful, and some qute dry. Each of these texts s desgned for a specic audence. Too often, texts
about statstcs have been rather theoretcal and ntmdatng for those not practcng statstcal
analyss on a routne bass. Thus, many engneers and scentsts, who need to use statstcs much
more frequently than calculus or dfferental equatons, lack suficent knowledge of the use of
statstcs. The audence that s addressed n ths text s the unversty-level bomedcal engneerng
student who needs a bare-bones coverage of the most basc statstcal analyss frequently used n
bomedcal engneerng practce. The text ntroduces students to the essental vocabulary and basc
concepts of probablty and statstcs that are requred to perform the numercal summary and sta-
tstcal analyss used n the bomedcal ield. Ths text s consdered a startng pont for mportant
ssues to consder when desgnng experments, summarzng data, assumng a probablty model for
the data, testng hypotheses, and drawng conclusons from sampled data.
A student who has completed ths text should have suficent vocabulary to read more ad-
vanced texts on statstcs and further ther knowledge about addtonal numercal analyses that are
used n the bomedcal engneerng ield but are beyond the scope of ths text. Ths book s desgned
to supplement an undergraduate-level course n appled statstcs, specically n bomedcal eng-
neerng. Practcng engneers who have not had formal nstructon n statstcs may also use ths text
as a smple, bref ntroducton to statstcs used n bomedcal engneerng. The emphass s on the
applcaton of statstcs, the assumptons made n applyng the statstcal tests, the lmtatons of
these elementary statstcal methods, and the errors often commtted n usng statstcal analyss.
A number of examples from bomedcal engneerng research and ndustry practce are provded to
assst the reader n understandng concepts and applcaton. It s beneical for the reader to have
some background n the lfe scences and physology and to be famlar wth basc bomedcal n-
strumentaton used n the clncal envronment.
KEywoRdS
probablty model, hypothess testng, physology, ANOVA, normal dstrbuton,
conidence nterval, power test
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