Fundamental Statistical Principles For The Neurobiologist: A Survival Guide by Stephen W. ScheffFundamental Statistical Principles For The Neurobiologist: A Survival Guide by Stephen W. Scheff

Fundamental Statistical Principles For The Neurobiologist: A Survival Guide

byStephen W. ScheffEditorStephen W. Scheff

Paperback | February 16, 2016

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Fundamental Statistical Principles for Neurobiologistsintroduces 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, andpost hocanalyses. 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
Stephen W. Scheff, Ph.D. is currently the Associate Director of the Sanders-Brown Center on Aging and a Professor in the Department of Anatomy & Neurobiology at the University of Kentucky. He graduated from Washington University in St. Louis with a degree in psychology and attained both a MA and Ph.D. in physiological psychology from t...
Title:Fundamental Statistical Principles For The Neurobiologist: A Survival GuideFormat:PaperbackDimensions:234 pages, 8.75 × 6.35 × 0.68 inPublished:February 16, 2016Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128047534

ISBN - 13:9780128047538

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Table of Contents

Chapter 1: Elements of Experimentation

Chapter 2: Experimental Design and Hypothesis

Chapter 3: Statistical Essentials

Chapter 4: Graphing Data

Chapter 5: Correlation and Regression

Chapter 6: One-Way Analysis of Variance

Chapter 7: Two-Way Analysis of Variance

Chapter 8: Nonparametric Statistics

Chapter 9: Outliers and Missing Data

Chapter 10: Statistical Extras