Advertisement

© 1990

Statistics in Scientific Investigation

Its Basis, Application, and Interpretation

Textbook

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Glen McPherson
    Pages 589-595
  2. Glen McPherson
    Pages 596-612
  3. Glen McPherson
    Pages 613-621
  4. Back Matter
    Pages 622-667

About this book

Introduction

In this book I have taken on the challenge of providing an insight into Statistics and a blueprint for statistical application for a wide audience. For students in the sciences and related professional areas and for researchers who may need to apply Statistics in the course of scientific experimenta­ tion, the development emphasizes the manner in which Statistics fits into the framework of the scientific method. Mathematics students will find a unified, but non-mathematical structure for Statistics which can provide the motivation for the theoretical development found in standard texts on theoretical Statistics. For statisticians and students of Statistics, the ideas contained in the book and their manner of development may aid in the de­ velopment of better communications between scientists and statisticians. The demands made of readers are twofold: a minimal mathematical prerequisite which is simply an ability to comprehend formulae containing mathematical variables, such as those derived from a high school course in algebra or the equivalent; a grasp of the process of scientific modeling which comes with ei­ ther experience in scientific experimentation or practice with solving mathematical problems.

Keywords

average calculus communication correlation development mathematics modeling probability probability distribution research statistical analysis statistical models statistics value-at-risk

Authors and affiliations

  1. 1.Department of MathematicsThe University of TasmaniaHobartAustralia

Bibliographic information