Practical Statistics for Environmental and Biological Scientists

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand. 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. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.

(Bookdata)

Bli först med att recensera och betygsätt boken Practical Statistics for Environmental and Biological Scientists - du kan vinna 200 kr varje månad i tävlingen "Månadens recension".

"The reassuring tone and straightforward approach of the book would be a useful guide..." (Biochemistry and Molecular Education, July/August 2002) "...covers the basics of designing an experiment/survey, data analysis and presentation, and specific methods." (SciTech Book News, Vol. 26, No. 2, June 2002) "...a good and clear exposition of basic statistical techniques..." (Biometrics, December 2002) "!This no--nonsense approach to elementary statistics should get you or your student started!" (European Journal of Soil Science, March 2003) "...This book provides a concise, userfriendly, non--technical introduction to statistics". (Metrohm Information, Vol.32, No.1, 2003)

(Bookdata)

Preface Part I STATISTICS BASICS Introduction A Brief Tutorial on Statistics Before You Start Designing an Experiment or Survey Exploratory Data Analysis and Data Presentation Common Assumptions or Requirements of Data for Statistical Tests Part II STATISTICAL METHODS t--tests and F--tests Analysis of Variance Correlation and Regression Mulitvariate ANOVA Repeated Measures Chi--square Tests Non--parametric Tests Principal Component Analysis Cluster Analysis Appendices Bibliography Index

(Bookdata)