Statistics and Scientific Method

Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in a single discipline; hence, “statistics for biologists”, “statistics for psychologists”, and so on. An antidote to technique-oriented service courses, this book is different. It studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to understand the underlying concepts. Instead, the text aims to give the reader a clear understanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method. Aimed primarily at beginning postgraduate students across a range of scientific disciplines (albeit with a bias towards the biological, environmental and health sciences), it therefore assumes some maturity of understanding of scientific method, but does not require any prior knowledge of statistics, or any mathematical knowledge beyond basic algebra and a willingness to come to terms with mathematical notation. Any statistical analysis of a realistically sized data-set requires the use of specially written computer software.

Product details

• Best Sellers Rank: ۱,۳۲۳,۸۱۰ in Books (See Top 100 in Books)
  • ۴۲۷ in Epidemiology
  • ۲,۰۳۰ in Mathematical Probability & Statistics
  • ۵,۲۵۸ in Public Health Administration

Statistics and Scientific Method