Statistics without Mathematics
- David J. Bartholomew - London School of Economics
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.
Great book which takes the fear out of statistics and give practical examples on what's behind the formulas.
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.
Great resource to support students learning about statistics
This is an easy read and a good introduction to statistics for undergrad students who are less confident with numbers.
Sample Materials & Chapters
Statistics without Mathematics: Before We Begin
Statistics without Mathematics: Picturing Variability
