Practical Statistics for Environmental & Biological Scientists

Höfundur: John Townend (Útgáfa: 1)
Practical Statistics for Environmental & Biological Scientists

Kaup valmöguleikar

Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method.

Nánar um bókina

Útgefandi
Wiley Global Research (STMS)
ISBN
9781119291671
Print ISBN
9780471496656
Format
Page Fidelity (PDF)
Útgáfa
1
Höfundar
John Townend
Tungumál
English
Útgefið
16/03/2016
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
2

Kaflar

  • Title Page
  • Table of Contents
  • Preface
  • PART I STATISTICS BASICS
  • 1 Introduction
  • 1.1 Do you need statistics?
  • 1.2 What is statistics?
  • 1.3 Some important lessons I have learnt
  • 1.4 Statistics is getting easier
  • 1.5 Integrity in statistics
  • 1.6 About this book
  • 2 A Brief Tutorial on Statistics
  • 2.1 Introduction
  • 2.2 Variability
  • 2.3 Samples and populations
  • 2.4 Summary statistics
  • 2.5 The basis of statistical tests
  • 2.6 Limitations of statistical tests
  • 3 Before You Start
  • 3.1 Introduction
  • 3.2 What statistical methods are available?
  • 3.3 Surveys and experiments
  • 3.4 Designing experiments and surveys - preliminaries
  • 3.5 Summary
  • 4 Designing an Experiment or Survey
  • 4.1 Introduction
  • 4.2 Sample size
  • 4.3 Sampling
  • 4.4 Experimental design
  • 4.5 Further reading
  • 5 Exploratory Data Analysis and Data Presentation
  • 5.1 Introduction
  • 5.2 Column graphs
  • 5.3 Line graphs
  • 5.4 Scatter graphs
  • 5.5 General points about graphs
  • 5.6 Tables
  • 5.7 Standard errors and error bars
  • 6 Common Assumptions or Requirements of Data for Statistical Tests
  • 6.1 Introduction
  • 6.2 Common assumptions
  • 6.3 Transforming data
  • PART II STATISTICAL METHODS
  • 7 I-tests and F-tests
  • 7.1 Introduction
  • 7.2 Limitations and assumptions
  • 7.3 t-tests
  • 7.4 F-test
  • 7.5 Further reading
  • 8 Analysis of Variance
  • 8.1 Introduction
  • 8.2 Limitations and assumptions
  • 8.3 One-way ANaYA
  • 8.4 Multiway ANaYA
  • 8.5 Further reading
  • 9 Correlation and Regression
  • 9.1 Introduction
  • 9.2 Limitations and assumptions
  • 9.3 Pearson's product moment correlation
  • 9.4 Simple linear regression
  • 9.5 Correlation or regression?
  • 9.6 Multiple linear regression
  • 9.7 Comparing two lines
  • 9.8 Fitting curves
  • 9.9 Further reading
  • 10 Multivariate ANOVA
  • 10.1 Introduction
  • 10.2 Limitations and assumptions
  • 10.3 Null hypothesis
  • 10.4 Description of the test
  • 10.5 Interpreting the results
  • 10.6 Further reading
  • 11 Repeated Measures
  • 11.1 Introduction
  • 11.2 Methods for analysing repeated measures data
  • 11.3 Designing repeated measures experiments
  • 11.4 Further reading
  • 12 Chi-square Tests
  • 12.1 Introduction
  • 12.2 Limitations and assumptions
  • 12.3 Goodness of fit test
  • 12.4 Test for association between two factors
  • 12.5 Comparing proportions
  • 12.6 Further reading
  • 13 Non-parametric Tests
  • 13.1 Introduction
  • 13.2 Limitations and assumptions
  • 13.3 Mann-Whitney U-test
  • 13.4 Two-sample Kolmogorov-Smirnov test
  • 13.5 Two-sample sign test
  • 13.6 Kruskal-Wallis test
  • 13.7 Friedman's test
  • 13.8 Spearman's rank correlation
  • 13.9 Further reading
  • 14 Principal Component Analysis
  • 14.1 Introduction
  • 14.2 Limitations and assumptions
  • 14.3 Description of the method
  • 14.4 Interpreting the results
  • 14.5 Further reading
  • 15 Cluster Analysis
  • 15.1 Introduction
  • 15.2 Limitations and assumptions
  • 15.3 Clustering observations
  • 15.4 Clustering variables
  • 15.5 Further reading
  • APPENDICES
  • A Calculations for statistical tests
  • B Concentration data for Chapters 14 and 15
  • C Using computer packages
  • D Choosing a test: decision table
  • E List of worked examples
  • Bibliography
  • Index