Applied Statistics

A Handbook of Techniques

  • Lothar Sachs

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Lothar Sachs
    Pages 1-2
  3. Lothar Sachs
    Pages 3-6
  4. Lothar Sachs
    Pages 7-22
  5. Lothar Sachs
    Pages 23-194
  6. Lothar Sachs
    Pages 245-306
  7. Lothar Sachs
    Pages 307-381
  8. Lothar Sachs
    Pages 494-567
  9. Back Matter
    Pages 568-707

About this book


This outline of statistics as an aid in decision making will introduce a reader with limited mathematical background to the most important modern statistical methods. This is a revised and enlarged version, with major extensions and additions, of my "Angewandte Statistik" (5th ed.), which has proved useful for research workers and for consulting statisticians. Applied statistics is at the same time a collection of applicable statistical methods and the application of these methods to measured and/or counted observations. Abstract mathematical concepts and derivations are avoided. Special emphasis is placed on the basic principles of statistical formulation, and on the explanation of the conditions under which a certain formula or a certain test is valid. Preference is given to consideration of the analysis of small sized samples and of distribution-free methods. As a text and reference this book is written for non-mathematicians, in particular for technicians, engineers, executives, students, physicians as well as researchers in other disciplines. It gives any mathematician interested in the practical uses of statistics a general account of the subject. Practical application is the main theme; thus an essential part of the book consists in the 440 fully worked-out numerical examples, some of which are very simple; the 57 exercises with solutions; a number of different compu­ tational aids; and an extensive bibliography and a very detailed index. In particular, a collection of 232 mathematical and mathematical-statistical tables serves to enable and to simplify the computations.


Binomial distribution Conditional probability Median Multinomial distribution Normal distribution Poisson distribution Probability theory Random variable Sage Variance analysis of variance best fit correlation linear regression

Authors and affiliations

  • Lothar Sachs
    • 1
  1. 1.Abteilung Medizinische Statistik und Dokumentation im KlinikumUniversität KielKiel 1Federal Republic of Germany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1984
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9755-0
  • Online ISBN 978-1-4612-5246-7
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site
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