Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Books
  3. Statistics Explained
  • Cited by 20
Publisher:
Cambridge University Press
Online publication date:
June 2012
Print publication year:
2005
Online ISBN:
9780511815935
DOI:
https://doi.org/10.1017/CBO9780511815935
Subjects:
Life Sciences, Quantitative Biology, Biostatistics and Mathematical Modeling
Information

Book description

Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.

Reviews

'McKillup deserves to be congratulated on having produced a clear and accessible statistics book pitched at the uninitiated or the unsure. The slightly panicky should relax and take a quiet dose of a couple of chapters at a time and pretty soon all should seem much less awful. For the novice, confident or not, Statistics Explained offers an excellent primer that does not purport to be fully comprehensive yet manages to cover most things one really needs to know.'

Ian C. W. Hardy - University of Nottingham

'This book would be an excellent course textbook to be used as an accompaniment to an undergraduate (or postgraduate) course in statistics and experimental design (either by students, or as a basis for teaching … There are distinct strengths to this book. the procedure adopted for statistical tests remains consistent throughout the book. The chapters are built up skilfully, the order of ideas being entirely appropriate. These ideas are 'sign-posted' with carefully chosen sub-headings, and the explanations carefully crafted to focus on students' understanding, rather than simply enabling them to mechanically number-crunch, avoiding excessive mathematical terminology.'

Source: JBE

'McKillup deserves to be congratulated on having produced a clear and accessible statistics book pitched at the uninitiated or the unsure. The slightly panicky should relax and take a quiet dose of a couple of chapters at a time and pretty soon all should seem much less awful … My overall opinion of this book is captured by the fact that this is the introductory text that I shall be recommending to the students on the statistical analysis module that I teach next semester.'

Source: Journal of Agricultural Science

'This book will be a valuable reference and learning aid for all students without a strong mathematical background seeking a conceptual understanding of statistical design. I would recommend this book if you are interested in teaching an introductory statistics course for undergraduate students in the life sciences arena.'

Source: American Statistical Association

Refine List

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

Contents

Contents
References
References
References
Andrews, M. L. A. (1976) The Life that Lives On Man. London: Faber & Faber.
Chalmers, A. F., (1999) What Is This Thing Called Science? 3rd edition. Indianapolis: Hackett Publishing Co.
Fisher, R. A., (1954) Statistical Methods for Research Workers. Edinburgh: Oliver & Boyd.
Hurlbert, S. J. (1984) Pseudoreplication and the design of ecological field experiments. Ecological Monographs 54: 187–211.
Kuhn, T. S., (1970) The Structure of Scientific Revolutions, 2nd edition. Chicago: University of Chicago Press.
LaFollette, M. C., (1992) Stealing into Print. Fraud, Plagiarism and Misconduct in Scientific Publishing. Berkeley, CA: University of California Press.
Lakatos, I., (1978) The Methodology of Scientific Research Programmes. New York: Cambridge University Press.
McKillup, S. C. (1988) Behaviour of the millipedes. Ommatoiulus moreletii, Ophyiulus verruciluger and Oncocladosoma castaneum in response to visible light; an explanation for the invasion of houses by Ommatoiulus moreletii. Journal of Zoology, London 215: 35–46.
McKillup, S. C. and McKillup, R. V. (1993) Behavior of the intertidal gastropod Planaxis sulcatus (Cerithiacae: Planaxidae) in Fiji: are responses to damaged conspecifics and predators more pronounced on tropical versus temperate shores?Pacific Science 47: 401–7.
Popper, K. R., (1968) The Logic of Scientific Discovery. London: Hutchinson.
Quinn, G. P., and Keough, M. J. (2002) Experimental Design and Data Analysis for Biologists. Cambridge: Cambridge University Press.
Siegel, S. and Castallan, J. J. (1988) Nonparametric Statistics for the Behavioral Sciences. 2nd edition. New York: McGraw-Hill.
Singer, P., (1992) Practical Ethics. Cambridge: Cambridge University Press.
Sokal, R. R., and Rohlf, F. J. (1995) Biometry. 3rd edition. New York: W. H. Freeman.
Sprent, P., (1993) Applied Nonparametric Statistical Methods. 2nd edition. London: Chapman & Hall.
Student, . (1908) The probable error of a mean. Biometrica 6: 1–25.
Tukey, J. W., (1977) Exploratory Data Analysis. Reading: Addison Wesley.
Zar, J. H., (1999) Biostatistical Analysis, 3rd edition. Upper Saddle River, NJ: Prentice Hall.
Zelen, M. and Severo, N. C. (1964) Probability functions. In Handbook of Mathematical Functions, Abramowitz, M. and Stegun, I. (eds.). Washington, DC: National Bureau of Standards, pp. 925–95.

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.