# Statistics without Mathematics

- David J. Bartholomew - London School of Economics, UK

**Other Titles in:**

Quantitative/Statistical Research | Social Research Methods | Sociological Research Methods

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.

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.

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

This is a rather thin volume that goes into depth of some introductory statistical concepts. I found the material to be too detailed for social science students on a research methods course. For students on a introductory statistics course it might be more useful; however, I would prefer a text that has practice activities, MCQs, and that embedded the concepts with actual research examples.

**School of Psychology, Newcastle University**

Students often worry that their mathematic skills (or lack thereof) will prevent them from carrying out quality research during their degree. This book forms a good foundation to ease students into statistics and outlines the central ideas in statistics such as variation very clearly. A good basic book for students to understand.

**Psychology Department, Worcester University**

Great book which takes the fear out of statistics and give practical examples on what's behind the formulas.

**Psychology , Sozial- und Wirtschaftspsychologie**

This is an easy read and a good introduction to statistics for undergrad students who are less confident with numbers.

**School of Health in Social Science, College Of Medicine & Vet Medicine**

An excellent resource for students engaging with statistics for the first time in many years. The text eases students through the key concepts of statistics and how it is used without using mathematical symbols which many students find off putting.

I will recommend to my part-time students many of whom are re-engaging with the subject for the first time in 10 years.

**School of Computing, Dublin Institute of Technology**

A great text whose 'kerb appeal' will resonate with many: stats without mathematics seems to embrace the wish of many, and the text itself is configured in such a way as to embrace the reader. Very useful.

**School of Psychology, University of East London**

Great resource to support students learning about statistics

**Faculty of Education, Health, Sciences, Derby University**

The course I teach is meant to also familiarise students with the mathematics. As such, I appreciate the book very much for its didactics, explanations and examples given - but will not use t first-hand in the course.

**Department of Sociology, Groningen University (RuG)**

A useful text for students who might have a few misgivings about handling numbers during their research project. The title of the book is very appropriate.

**Winchester Business School, Winchester University**

### Sample Materials & Chapters

Statistics without Mathematics: Before We Begin

Statistics without Mathematics: Picturing Variability