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Statistical analysis of data is an inevitable step in every scientific experiment. In spite of the presence of many books on statistical analysis, every science has its own characteristic features and it is much easier to perform statistical evaluation of data using as guidelines examples with similar situations.
The main goal of this book is to describe how to choose the appropriate statistical test for assessing data of microbiological experiment, how to apply this test and then how to interpret obtained results. Each step of statistical analysis is illustrated in detail by examples selected from our microbiological studies. For statistical methods which are still not very common in microbiological researches, for example, logistic regression, we characterized some selected examples from published studies that may help to find ideas about application of these methods in researches of the reader.
Because the most commonly used statistical software is SPSS, examples are given in this software package, in its recent version 20. However, because other statistical packages apply the same principles, the examples can be easily performed in similar software, such as SAS, STATISTICA, MedCalc, etc. The analysis of researcher preferences in the use of different statistical packages is also done in the last chapter of this book, along with the analysis of application of different statistical methods in published microbiological studies, and with short guidelines in the freeware statistical packages.
The book describes consecutive steps in analysis of microbiological data starting from formulating the purpose with expected results and performing descriptive statistics with assessment of data distribution, which are the key steps in selecting criteria for the further analysis. Next chapters include the comparison of groups of data, the study of relations between variables, the classification of data and the methods of prognosis. The book is written maximally close to practical application of statistics with the minimally necessary theoretical preface to each selected method. Attention is paid to the visualization of results in tables and in graphs, which provides the easiest way of interpretation of results.
The potential readers include students of microbiology, pharmacology, biotechnology, medicine, researchers, scientists and teachers.ISBN - 9789350974896
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Pages : 234
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