Statistical Analysis in Microbiology: StatNotes: StatNotes - Brossura

Armstrong, Richard A.

Brossura

ISBN 10: 0470559306 ISBN 13: 9780470559307

Casa editrice: Wiley-Blackwell, 2010

Riassunto

This book is aimed primarily at microbiologists who are undertakingresearch, and who require a basic knowledge of statistics toanalyse their experimental data. Computer software employing a widerange of data analysis methods is widely available to experimentalscientists. The availability of this software, however, makes iteven more essential that microbiologists understand the basicprinciples of statistics.

Statistical analysis of data can be complex with many differentmethods of approach, each of which applies in a particularexperimental circumstance. In addition, most statistical softwarecommercially available is complex and difficult to use. Hence, itis easy to apply an incorrect statistical method to data and todraw the wrong conclusions from an experiment.

The purpose of this book is an attempt to present the basiclogic of statistics as clearly as possible and therefore, to dispelsome of the myths that often surround the subject. The book ispresented as a series of 2018Statnotes', many of which wereoriginally published in the 2018Microbiologist' by the Society forApplied Microbiology, each of which deals with various topicsincluding the nature of variables, comparing the means of two ormore groups, non-parametric statistics, analysis of variance,correlating variables, and more complex methods such as multiplelinear regression and factor analysis. In each case, the relevantstatistical methods are illustrated with scenarios and realexperimental data drawn from experiments in microbiology. The textwill incorporate a glossary of the most commonly used statisticalterms and a section to aid the investigator to select the mostappropriate test.

Su questo libro

L'autore:

Dr. Richard Armstrong is a?Lecturer for the School of Life and Health Sciences for Aston University. His research interests include?Neuropathology of Alzheimer's Disease; Lichen Biology and Ecology. He has?published in many?peer reviewed journals.

Dr. Anthony C. Hilton is a Senior Lecturer in Microbiology and the UG Programme Director at Aston University in the School of Life and Health Sciences. His research interests include applied microbiology (food and clinical), molecular microbiology, salmonella, campylobacter, MRSA and Escherichia?coli 0157, clostridium difficult, and molecular typing of microorganisms.?In addition to contributing to various peer reviewed journals, he is also member of the Molecular Biosciences Research Group.

Dalla quarta di copertina:

Statistical Analysis in Microbiology: StatNotes has beendesigned specifically for microbiologists who are involved inexperimental research and need to draw accurate conclusions fromtheir findings. It features twenty-eight StatNotes that togetherenable you to understand the basic principles of statistics, choosethe correct statistical methods to analyze your experimental data,and work with a variety of commercially available statisticalsoftware packages. These StatNotes are based on a series of populararticles published in Microbiologist, the official magazine of theSociety for Applied Microbiology. They explore a variety of topicsin statistics that are essential for analyzing experimental data,including:

• Nature of variables

• Comparison of means of two or more groups

• Non-parametric statistics

• Analysis of variance

• Correlation of variables

• Multiple linear regression and factor analysis

Throughout the book, the logic and mechanics of each statisticaltest presented are carefully explained. Moreover, each statisticaltest is illustrated with examples drawn from actual experiments andresearch data in microbiology. As a result, you can clearly see howeach test is interpreted and what types of conclusions can be drawnfrom the research data.

In the back of the book, you'll find a glossary of statisticalterms and their abbreviations as well as a summary of sample sizecalculations. You'll also find two appendices that help you selectthe most appropriate statistical tests based on the type ofresearch you're conducting and the type of data that you'regathering.

Given the wide variety of statistical software packages, it'sessential that you understand the underlying principles and purposeof each statistical method; applying an inappropriate statisticaltest can easily lead to the wrong conclusions. Written specificallyfor microbiologists, the highly acclaimed and popular StatNotesenable you to choose which statistical methods should be applied toanalyze and draw correct conclusions from your experimentaldata.

Su questa edizione

• Editore: Wiley-Blackwell
• Data di pubblicazione: 2010
• ISBN 10: 0470559306
• ISBN 13: 9780470559307
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 190