Many gross errors in applying statistical methods arise through not knowing when they work, or when the results are a nonsense, and through using methods that are not entirely appropriate to the problems being analysed. The most effective way of learning to use and appreciate statistical methods is through an applied approach. Clarke's popular textbook provides a non-mathematical account of all the statistical methods commonly used by students and researchers in the biological sciences. It describes the methods, their uses and the interpretation of results and in addition, presents the ideas behind, and the limitations of, standard statistical procedure. The text acknowledges the importance of computers in the analysis of data and gives students advice on the use of MINITAB in statistical work and the use of computer graphics to illustrate reports.
Rezensionen / Stimmen
The material is well written with clear notation and ample examples and exercises...A nice little book that can be highly recommeded for a non-mathematical introductory course in statistics for experimental scientists. -- Teaching Statistics, reviewing a previous edition ...it should appeal to those wishing to learn statistical methods in an 'applied' way. It is easy to follow, gives an excellent grounding in statistical methods for the less mathematically inclined, and can be recommeded to biologists and to science students generally. -- Bias A book of this kind, addressed to a specialist audience will...be judged mainly on the examples chosen to illustrate the procedures described and on the exercises set for the reader. Here the author has been very successful; he has drawn on a wide range of biological experiments. Particularly pleasing are those exercises which really make the reader think. -- Journal of Applied Bacteriology
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Illustrationen
Maße
Höhe: 234 mm
Breite: 157 mm
Dicke: 17 mm
Gewicht
ISBN-13
978-0-340-59324-0 (9780340593240)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Natural variation and types of data; studying and summarizing data graphically; numerical summaries of data; populations, samples and inferences; probability, the binomial and geometric distributions; randomness and the Poisson distribution; the normal distribution as a model for continuous data; significance tests for means - normal and student's t; confidence intervals for means; non-parametric tests for relocation; tests and estimates for variances; tests using the chi-squared distribution; correlation between two variable; fitting straight lines - linear regression; the principles of experimental design - the completely randomized design; randomized blocks and the precision of results; simple factorial experiments; missing observations and non-normality; a guide to choosing a significance test.
