Statistics explained : an introductory guide for life sciences / Steve McKillup.

Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those without a strong mathematical background. Topics are explained clearly and succinctly with minimum use of formulae and terminology, making...

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Bibliographic Details
Main Author: McKillup, Steve.
Format: Book
Published: Cambridge, UK ; New York : Cambridge University Press, 2005.
Online Access:CONNECT
Table of Contents:
  • 'Doing science'
  • hypotheses, experiments, and disproof
  • Collecting and displaying data
  • Introductory concepts of experimental design
  • Probability helps you make a decision about your results
  • Working from samples
  • data, populations, and statistics
  • Normal distributions
  • tests for comparing the means of one and two samples
  • Type 1 and type 2 errors, power, and sample size
  • Single factor analysis of variance
  • Multiple comparisons after ANOVA
  • Two factor analysis of variance
  • Important assumptions of analysis of variance: transformations and a test for equality of variances
  • Two factor analysis of variance without replication, and nestedmil analysis of variance
  • Relationships between variables: linear correlation and linear regression
  • Simple linear regression
  • Non-parametric statistics
  • Non-parametric tests for nominal scale data
  • Non-parametric tests for ratio, interval, or ordinal scale data
  • Choosing a test
  • Doing science responsibly and ethically.