Description

Book Synopsis

This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language.

It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and usesconceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence.

Key topics include:

  • Variability
  • Standard Distributions
  • Correlation
  • Relationship
  • Sampling
  • Inference

An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for

Trade Review
Bartholomew brings a wealth of experience to this book, explaining all of the most fundamental concepts in statistics with insight but without technicalities. This is an excellent read for the learner or the teacher, to establish or reinforce a proper understanding of what statistics is really all about.
-- Neil Sheldon

Table of Contents
Introduction: Before We Begin Chapter 1: Picturing Variability Chapter 2: Interpreting Variability Chapter 3: Three Standard Distributions Chapter 4: Summarising Variation Chapter 5: The Analysis of Variation Chapter 6: Covariation Chapter 7: Sampling Chapter 8: Introduction to the Ideas of Inference Chapter 9: Sampling Distributions and More on Inference Chapter 10: Inference about Averages Chapter 11: Binary Data Chapter 12: Goodness of fit Chapter 13: Unobserved Variables Chapter 14: Retrospect Apendix

Statistics without Mathematics

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    £37.99

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    Order before 4pm today for delivery by Tue 23 Jun 2026.

    A Paperback / softback by David J Bartholomew

    1 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Statistics without Mathematics by David J Bartholomew

      Publisher: Sage Publications Ltd
      Publication Date: 02/11/2015
      ISBN13: 9781473902459, 978-1473902459
      ISBN10: 1473902452

      Description

      Book Synopsis

      This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language.

      It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and usesconceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence.

      Key topics include:

      • Variability
      • Standard Distributions
      • Correlation
      • Relationship
      • Sampling
      • Inference

      An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for

      Trade Review
      Bartholomew brings a wealth of experience to this book, explaining all of the most fundamental concepts in statistics with insight but without technicalities. This is an excellent read for the learner or the teacher, to establish or reinforce a proper understanding of what statistics is really all about.
      -- Neil Sheldon

      Table of Contents
      Introduction: Before We Begin Chapter 1: Picturing Variability Chapter 2: Interpreting Variability Chapter 3: Three Standard Distributions Chapter 4: Summarising Variation Chapter 5: The Analysis of Variation Chapter 6: Covariation Chapter 7: Sampling Chapter 8: Introduction to the Ideas of Inference Chapter 9: Sampling Distributions and More on Inference Chapter 10: Inference about Averages Chapter 11: Binary Data Chapter 12: Goodness of fit Chapter 13: Unobserved Variables Chapter 14: Retrospect Apendix

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