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E-grāmata: Descriptive Statistics and Probability Theory [Taylor & Francis e-book]

  • Formāts: 212 pages
  • Sērija : Routledge Revivals
  • Izdošanas datums: 29-Aug-2025
  • Izdevniecība: Routledge
  • ISBN-13: 9781003641759
  • Taylor & Francis e-book
  • Cena: 97,83 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 139,76 €
  • Ietaupiet 30%
  • Formāts: 212 pages
  • Sērija : Routledge Revivals
  • Izdošanas datums: 29-Aug-2025
  • Izdevniecība: Routledge
  • ISBN-13: 9781003641759
First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to get the feel of statistics, untroubled by the learning of fresh concepts.

From this numerical work emerges the need to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics.
Introduction
1. Graphs
2. Measures of Central Tendency
3. Measures of
Dispersion
4. Set Theory and Probability
5. Permutations and Combinations
6.
More Probability Theory
7. An Axiomatic Approach to Probability Theory