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Biostatistics
ISBN-13: 9789351301189 / Angielski / Twarda / 2013 / 242 str.
The book 'Biostatistics' consists of ten chapters explaining statistical tools used in analyzing biological, biomedical and biochemical experimental data. Statistical tools, techniques and methods are explained with many real life problems and special care is taken to explain mathematical formulae and calculations keeping in view that the readers are non-mathematical students who are not having much mathematical background.
The book mainly concentrates on (1) Collection, classification and tabulation of data, (2) Presentation of Data (both diagrammatic and graphical repreentation)
(3) Analysis and (4) Inference (both estimation of parameters and testing of hypotheses). Most popularly used DMR test, by any biological students is also discussed along with its applications. At the end of each chapter, self assessment questions are given. This book can also be used by civil, mechanical, electrical and computer engineers in analyzing their experimental data and to take statistically valid decisions.
The book Biostatistics consists of ten chapters explaining statistical tools used in analyzing biological, biomedical and biochemical experimental data. Statistical tools, techniques and methods are explained with many real life problems and special care is taken to explain mathematical formulae and calculations keeping in view that the readers are non-mathematical students who are not having much mathematical background.
The book mainly concentrates on (1) Collection, classification and tabulation of data, (2) Presentation of Data (both diagrammatic and graphical repreentation)
(3) Analysis and (4) Inference (both estimation of parameters and testing of hypotheses). Most popularly used DMR test, by any biological students is also discussed along with its applications. At the end of each chapter, self assessment questions are given. This book can also be used by civil, mechanical, electrical and computer engineers in analyzing their experimental data and to take statistically valid decisions.
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