Fundamental Statistical Principles for the Neurobiologist
  • Release Date : 11 February 2016
  • Publisher : Academic Press
  • Categories : Science
  • Pages : 234 pages
  • ISBN 13 : 9780128050514
  • ISBN 10 : 0128050519
Score: 4
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Synopsis : Fundamental Statistical Principles for the Neurobiologist written by Stephen W. Scheff, published by Academic Press which was released on 11 February 2016. Download Fundamental Statistical Principles for the Neurobiologist Books now! Available in PDF, EPUB, Mobi Format. 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. An introductory guide to statistics aimed specifically at the neuroscience audience Contains numerous examples with actual data that is used in the analysis Gives the investigators a starting pointing for evaluating data in easy-to-understand language Explains in detail many different statistical tests commonly used by neuroscientists

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