Description
Book Synopsis: Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results. Covering the most common statistical methods for examining and exploring relationships in data, the text includes extensive examples from a variety of scientific disciplines.
The chapters are organised logically, from planning an experiment, through examining and displaying the data, to constructing quantitative models. Each chapter is intended to stand alone so that casual users can refer to the section that is most appropriate to their problem.
Written by a highly qualified and internationally respected author, this text:
- Presents statistics for the non-statistician
- Explains a variety of methods to extract information from data
- Describes the application of statistical methods to the design of “performance chemicals”
- Emphasises the application of statistical techniques and the interpretation of their results
Of practical use to chemists, biochemists, pharmacists, biologists, and researchers from many other scientific disciplines in both industry and academia.
Details
Do you find yourself struggling with data analysis in your scientific research? Look no further! Introducing A Practical Guide to Scientific Data Analysis - a comprehensive handbook designed to provide you with practical guidance in the complexity of data analysis. Written by a highly qualified and internationally respected author, this book serves as the perfect statistical companion for the working scientist.
What sets this guide apart is its focus on the application of mathematical and statistical techniques, along with the interpretation of their results. With extensive examples from diverse scientific disciplines, you'll find this book to be a treasure trove of valuable insights and practical methods.
Whether you're planning an experiment, examining and displaying data, or constructing quantitative models, each chapter in this guide is organized in a logical manner, allowing you to easily find the information most relevant to your needs. Even if you're not a statistician, this book presents statistics in a clear and accessible manner, making it suitable for researchers from various scientific backgrounds.
But why stop there? This guide goes above and beyond statistical methods by delving into their application in the design of "performance chemicals." This makes it an indispensable resource for chemists, biochemists, pharmacists, biologists, and researchers across multiple scientific disciplines, both in industry and academia.
Don't miss out on the opportunity to enhance your data analysis skills and take your research to new heights. Get your hands on A Practical Guide to Scientific Data Analysis today and unlock a world of statistical insights and practical techniques!
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