Statistical Literacy : A Beginner's Guide - Rhys Christopher Jones

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Statistical Literacy

A Beginner's Guide

By: Rhys Christopher Jones

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Paperback | 5 April 2024

At a Glance

Paperback
248 Pages

Dimensions(cm)
24.41 x 16.99 x 1.35

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In an increasingly data-centric world, we all need to know how to read and interpret statistics. But where do we begin?

This book breaks statistical terms and concepts down in a clear, straightforward way. From understanding what data are telling you to exploring the value of good storytelling with numbers, it equips you with the information and skills you need to become statistically literate.

It also:

Dispels misconceptions about the nature of statistics to help you avoid common traps.
Helps you put your learning into practice with over 60 Tasks and Develop Your Skills activities.
Draws on real-world research to demonstrate the messiness of data - and show you a path through it.

Approachable and down to earth, this guide is aimed at undergraduates across the social sciences, psychology, business and beyond who want to engage confidently with quantitative methods or statistics. It forms a reassuring aid for anyone looking to understand the foundations of statistics before their course advances, or as a refresher on key content.

Industry Reviews

Prof. Rhys Jones has done a marvellous job of clearly and convincingly making the case for statistical literacy. Furthermore, he provides a systematic method for achieving this in the chapters of the book, addressing in an integrative way, many diverse issues previously covered in other statistical books. The emphasis on education, research and communication makes this book a very useful resource for a wide range of audiences, producers and consumers of statistics alike.

-- Tuan Yu
This is a great example of authoritative writing that understands how to help people learn. The currency and 'live' nature of the data used as examples is really convincing, and the important reflections on story telling are super. The book also offers a thoroughly non-judgemental view of data, which is to be applauded, encouraging data users to engage with evidence no matter how much it may cause them to question positions they have previously held dear to -- Dr Simon Gallacher

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