Practical Statistics for Field Biology 2e by Lou Cohen

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
EAN
9780471982968
UPC
9780471982968
ISBN
9780471982968
MPN
N/A
Country/Region of Manufacture
Australia
Subject Area
Science
Publication Name
Practical Statistics for Field Biology
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.7 in
Subject
Life Sciences / Ecology, Life Sciences / Biology
Publication Year
1998
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.6 in
Author
Philip Jarvis, Jim Fowler, Lou Cohen
Features
Revised
Item Weight
16 Oz
Item Width
6.7 in
Number of Pages
272 Pages
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471982962
ISBN-13
9780471982968
eBay Product ID (ePID)
133847

Product Key Features

Number of Pages
272 Pages
Publication Name
Practical Statistics for Field Biology
Language
English
Subject
Life Sciences / Ecology, Life Sciences / Biology
Publication Year
1998
Features
Revised
Type
Textbook
Author
Philip Jarvis, Jim Fowler, Lou Cohen
Subject Area
Science
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
16 Oz
Item Length
9.7 in
Item Width
6.7 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
98-009178
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
570.1/5195
Edition Description
Revised edition
Table Of Content
Measurement and Sampling Concepts. Processing Data. Presenting Data. Measuring the Average. Measuring Variability. Probability. Probability Distributions as Models of Dispersion. The Normal Distribution. Data Transformation. How Good are Our Estimates? The Basis of Statistical Testing. Analysing Frequencies. Measuring Correlations. Regression Analysis. Comparing Averages. Analysis of Variance - ANOVA. Multivariate Analysis. Appendices. Bibliography and Further Reading. Index.
Synopsis
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings., An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarities of field-based data and its interpretation, Practical Statistics for Field Biology introduces readers to the principles and methods of statistical analysis allowing them to understand research reports in journals, decide on the most appropriate statistical tests for their own problems and finally to analyse and present their findings. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. Practical Statistics for Field biology will be of interest to undergraduates studying ecology, biology, and earth and environmental sciences. In addition, it will be useful for postgraduates who are not familiar with the application of multivariate techniques and practising field biologists working in these areas. Review of the First Edition "In summary, Practical Statistics for Field Biology is an excellent introductory text for first and second year undergraduate courses in biology." Trends in Ecology & Evolution What the lecturers said about the First Edition: "An excellent introductory guide to statistics." "Applicable examples in an understandable text.", Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas., Die aktualisierte und überarbeitete 2. Auflage dieses Lehrbuchs. Es deckt alle grundlegenden statistischen Begriffe und Tests ab. Die benutzerfreundliche Darstellung verzichtet auf übermä igen Gebrauch von Fachjargon. Zunächst wird elementares Grundwissen vermittelt und dann schrittweise zu spezielleren Themen übergegangen. Hinzugefügt wurden insbesondere Kapitel zur Beschreibung der Wahrscheinlichkeit und zur Interpretation von Konfidenzintervallen sowie ein Anhang über die statistischen Rechenoperationen. (01/98)
LC Classification Number
QH318.5.F68 1998

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