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Informationen zum Autor 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. Klappentext Statistical Analysis in Microbiology: StatNotes has been designed specifically for microbiologists who are involved in experimental research and need to draw accurate conclusions from their findings. It features twenty-eight StatNotes that together enable you to understand the basic principles of statistics, choose the correct statistical methods to analyze your experimental data, and work with a variety of commercially available statistical software packages. These StatNotes are based on a series of popular articles published in Microbiologist, the official magazine of the Society for Applied Microbiology. They explore a variety of topics in 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 statistical test presented are carefully explained. Moreover, each statistical test is illustrated with examples drawn from actual experiments and research data in microbiology. As a result, you can clearly see how each test is interpreted and what types of conclusions can be drawn from the research data. In the back of the book, you'll find a glossary of statistical terms and their abbreviations as well as a summary of sample size calculations. You'll also find two appendices that help you select the most appropriate statistical tests based on the type of research you're conducting and the type of data that you're gathering. Given the wide variety of statistical software packages, it's essential that you understand the underlying principles and purpose of each statistical method; applying an inappropriate statistical test can easily lead to the wrong conclusions. Written specifically for microbiologists, the highly acclaimed and popular StatNotes enable you to choose which statistical methods should be applied to analyze and draw correct conclusions from your experimental data. Zusammenfassung Based on the highly successful STATNOTES articles published in Microbiologist by the Society for Applied Microbiology, this book presents the most useful statistical tests in a clear way by applying them to real experiments in microbiology, meeting the need for a book devoted to data analysis in the field. Inhaltsverzeichnis Preface. Acknowledgments. Note on Statistical Software. 1 ARE THE DATA NORMALLY DISTRIBUTED? 1.1 Introduction. 1.2 Types of Data and Scores. 1.3 Scenario. 1.4 Data. 1.5 Analysis: Fitting the Normal Distribution. 1.6 Conclusion. 2 DESCRIBING THE NORMAL DISTRIBUTION. 2.1 Introduction. 2.2 Scenario. 2.3 Data. 2.4 Analysis: Describing the Normal Distribution. 2.5 Analysis: Is a Single Observation Typical of the Population? 2.6 Analysis: Describing the Variation of Sample Means. 2.7 Analysis: How to Fit Confidence Intervals to a Sample Me...
