Practical statistics for environmental and biologial scientists / John Townend
Tipo de material: TextoDetalles de publicación: Hoboken : John Wiley & Sons, 2002 Descripción: X, 276 p. : gráf. ; 25 cmISBN: 0-471-49665-0Tema(s): Estadística matemática | Ciencias medioambientales -- Metodos estadísticos | BiometríaResumen: All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. 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 in the text.Resumen: Índice: 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; F-tests and t-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.Item number | Tipo de ítem | Biblioteca de origen | Signatura | Fecha de ingreso | URL | Estado | Fecha de vencimiento | Código de barras |
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Bibliografía
All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. 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 in the text.
Índice: 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; F-tests and t-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.
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