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016 7 a| 0194292432| Uk;

020 a| 9780081029398;

020 a| 008102939X;

020 z| 9780081029404 (ePub ebook);

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100 1 a| King, Andrew P.q| (Andrew Peter)?| UNAUTHORIZED;

245 10 a| Statistics for biomedical engineers and scientistsh| [electronic resource] :b| how to visualize and analyze data /c| Andrew P. King, Robert J. Eckersley.;

260 a| London, United Kingdom :b| Academic Press, an imprint of Elsevier,c| [2019];

300 a| xxiii, 249 pages :b| illustrations, portraits, ;c| 24 cm;

504 a| Includes bibliographical references (page 245) and index.;

506 a| Available only to authorized users.;

520 a| Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics. Presents a practical guide on how to visualize and analyze statistical data Provides numerous practical examples and exercises to illustrate the power of statistics in biomedical engineering applications Gives an intuitive understanding of statistical tests Covers practical skills by showing how to perform operations 'by hand' and by using MATLAB as a computational tool Includes an online resource with downloadable materials for students and teachers.--c| Source other than the Library of Congress;

538 a| Mode of access: World Wide Web;

650 0 a| Biomedical engineeringx| Statistical methods.=| ^A912;

650 12 a| Statistics as Topic.=| ^A918102;

650 12 a| Biomedical Engineering.=| ^A917952;

650 7 a| Biomedical engineering.2| fast0| (OCoLC)fst00832568;

650 7 a| Biomedical engineeringx| Statistical methods.2| nli;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Eckersley, Robert J.?| UNAUTHORIZED;

776 08 i| ebook version :z| 9780081029404;

856 40 z| Full text available from eBook - Engineering 2019u| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Fbook%2F9780081029398;

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Statistics for biomedical engineers and scientists how to visualize and analyze data / Andrew P. King, Robert J. Eckersley.

Author/creator	King, Andrew P.
Other author	Eckersley, Robert J.
Format	Electronic
Publication Info	London, United Kingdom : Academic Press, an imprint of Elsevier, [2019]
Description	xxiii, 249 pages : illustrations, portraits, ; 24 cm
Supplemental Content	Full text available from eBook - Engineering 2019
Subjects	Biomedical engineering--Statistical methods. Statistics as Topic. Biomedical Engineering.

Abstract	Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics. Presents a practical guide on how to visualize and analyze statistical data Provides numerous practical examples and exercises to illustrate the power of statistics in biomedical engineering applications Gives an intuitive understanding of statistical tests Covers practical skills by showing how to perform operations 'by hand' and by using MATLAB as a computational tool Includes an online resource with downloadable materials for students and teachers.-- Source other than the Library of Congress
Bibliography note	Includes bibliographical references (page 245) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Issued in other form	ebook version : 9780081029404
Genre/form	Electronic books.
LCCN	2021301191
ISBN	9780081029398
ISBN	008102939X

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Statistics for biomedical engineers and scientists how to visualize and analyze data / Andrew P. King, Robert J. Eckersley.

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