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Edité par Elsevier Science Publishing Co Inc, 2016
ISBN 10 : 0128047534 ISBN 13 : 9780128047538
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 484.
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Edité par Academic Press 2016-02-22, 2016
ISBN 10 : 0128047534 ISBN 13 : 9780128047538
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierTaschenbuch. Etat : Neu. Fundamental Statistical Principles for the Neurobiologist | A Survival Guide | Stephen W. Scheff | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2016 | Academic Press | EAN 9780128047538 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be 'outliers' and what to do when there is missing data, an issue that has not sufficiently been covered in literature. Englisch.
Edité par Elsevier Science Publishing Co Inc, 2016
ISBN 10 : 0128047534 ISBN 13 : 9780128047538
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 484.
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles wr.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be 'outliers' and what to do when there is missing data, an issue that has not sufficiently been covered in literature.