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Biostatistics and Microbiology: A Survival Manual

  • Book
  • © 2009

Overview

Authors:
  1. Daryl S. Paulson

    1. BioScience Laboratories, Inc., Bozeman, USA

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  • Survival Manual that provides condensation of biostatistical methods that microbiology researchers need to perform data analyses
  • Author has two decades of research and teaching experience and methods rely on use of basic hand-held calculator
  • Will help ground one's microbiological expertise using biostatistics as a tool

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-ix
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  2. BioStatistics and Microbiology: Introduction

    Pages 1-14

  3. One-Sample Tests

    Pages 15-40

  4. Two-Sample Statistical Tests, Normal Distribution

    Pages 41-61

  5. Analysis of Variance

    Pages 63-81

  6. Regression and Correlation Analysis

    Pages 83-100

  7. Qualitative Data Analysis

    Pages 101-120

  8. Nonparametric Statistical Methods

    Pages 121-162

  9. Back Matter

    Pages 163-216
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Keywords

About this book

influence on the conclusions that result. A very “conservative” statistic requires very strong proof to demonstrate significant differences, whereas a “liberal” one requires less. “Yuck,” you say already, “I just want to know the answer. ” To this, I respond, when in doubt, use a conventional statistical method, one that can be agreed on and accepted by most authorities. These conventional kinds of methods will be presented in this book. As you gain experience, choosing statistical methods will become almost an intuitive process. For example, for problems in which you have little experience, you will be very cautious and conservative. By analogy, this is similar to rafting a river for the first time. If you see rapids in the river, you will be more conservative as you approach them – wearing a life jacket and helmet, and using your paddle to avoid rocks – at least until you have expe- enced them and developed confidence. You will tend to be more liberal when near a sandy shore in clear, calm, shallow water. For experiments in microbiology in which you have much experience, your microbiological knowledge enables you to be more statistically liberal, as you will know whether the result of statistical analysis is microbiologically rational. Finally, statistics is not an end-all to finding answers. It is an aid in research, quality control, or diagnostic processes to support critical thinking and decisi- making.

Authors and Affiliations

  • BioScience Laboratories, Inc., Bozeman, USA

    Daryl S. Paulson

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