Statistics without Mathematics

David J Bartholomew - London School of Economics, UK
Statistics without Mathematics
October 2015 | 192 pages | Sage UK
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Description

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 uses conceptual 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 anyone needing a fresh perspective whilst studying the work of others.

Contents

Introduction: Before We Begin

Introduction: Before We Begin

Chapter 1: Picturing Variability

Chapter 1: Picturing Variability

Chapter 2: Interpreting Variability

Chapter 2: Interpreting Variability

Chapter 3: Three Standard Distributions

Chapter 3: Three Standard Distributions

Chapter 4: Summarising Variation

Chapter 4: Summarising Variation

Chapter 5: The Analysis of Variation

Chapter 5: The Analysis of Variation

Chapter 6: Covariation

Chapter 6: Covariation

Chapter 7: Sampling

Chapter 7: Sampling

Chapter 8: Introduction to the Ideas of Inference

Chapter 8: Introduction to the Ideas of Inference

Chapter 9: Sampling Distributions and More on Inference

Chapter 9: Sampling Distributions and More on Inference

Chapter 10: Inference about Averages

Chapter 10: Inference about Averages

Chapter 11: Binary Data

Chapter 11: Binary Data

Chapter 12: Goodness of fit

Chapter 12: Goodness of fit

Chapter 13: Unobserved Variables

Chapter 13: Unobserved Variables

Chapter 14: Retrospect

Chapter 14: Retrospect

Apendix

Apendix

Description

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 uses conceptual 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 anyone needing a fresh perspective whilst studying the work of others.

Contents

Introduction: Before We Begin

Introduction: Before We Begin

Chapter 1: Picturing Variability

Chapter 1: Picturing Variability

Chapter 2: Interpreting Variability

Chapter 2: Interpreting Variability

Chapter 3: Three Standard Distributions

Chapter 3: Three Standard Distributions

Chapter 4: Summarising Variation

Chapter 4: Summarising Variation

Chapter 5: The Analysis of Variation

Chapter 5: The Analysis of Variation

Chapter 6: Covariation

Chapter 6: Covariation

Chapter 7: Sampling

Chapter 7: Sampling

Chapter 8: Introduction to the Ideas of Inference

Chapter 8: Introduction to the Ideas of Inference

Chapter 9: Sampling Distributions and More on Inference

Chapter 9: Sampling Distributions and More on Inference

Chapter 10: Inference about Averages

Chapter 10: Inference about Averages

Chapter 11: Binary Data

Chapter 11: Binary Data

Chapter 12: Goodness of fit

Chapter 12: Goodness of fit

Chapter 13: Unobserved Variables

Chapter 13: Unobserved Variables

Chapter 14: Retrospect

Chapter 14: Retrospect

Apendix

Apendix

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Statistics without Mathematics


October 2015 | 192 pages | Sage UK

Format Published Date ISBN Price

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 uses conceptual 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 anyone needing a fresh perspective whilst studying the work of others.


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

Recent Product Reviews:

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, Associate Lecturer, RSS Centre for Statistical Education, Plymouth University

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