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An Adventure in Statistics

An Adventure in Statistics
The Reality Enigma

Second Edition
Additional resources:

March 2022 | 664 pages | SAGE Publications Ltd

Shortlisted for the British Psychological Society Book Award 2017
Shortlisted for the British Book Design and Production Awards 2016
Shortlisted for the Association of Learned & Professional Society Publishers Award for Innovation in Publishing 2016

Now in its second edition, An Adventure in Statistics: The Reality Enigma by best-selling author and award-winning teacher Andy Field offers a better way to learn statistics. It combines rock-solid statistics coverage with compelling visual storytelling to address the conceptual difficulties that students learning statistics for the first time often encounter in introductory courses. Students are guided away from rote memorization towards independent, critical thinking and problem solving.

This essential foundation to understanding statistics is woven into the unique action-packed story of Zach, who thinks, processes information and faces challenges to his understanding in the same way as a statistics novice. Illustrated with stunning, graphic novel-style art and featuring Socratic dialogue, the story captivates readers as it introduces them to concepts, eliminating potential statistics anxiety. 

No previous statistics knowledge is presumed, and no use of data analysis software is required – everything you would expect for an introductory course is covered but with a contemporary twist, arming students with a strong grounding in understanding classical and Bayesian approaches to data analysis. 

With its unique combination of story, concepts and terminology, this complete introduction to statistics from bestselling author Andy Field breaks the mould to present a statistical tale like no other.

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Chapter 1: Why you need science
Chapter 2: Reporting research, variables and measurement
Chapter 3: Summarizing data
Chapter 4: Fitting models (central tendency)
Chapter 5: Presenting data
Chapter 6: Z-scores
Chapter 7: Probability
Chapter 8: Inferential statistics: going beyond the data
Chapter 9: Robust estimation
Chapter 10: Hypothesis testing
Chapter 11: Modern approaches to theory testing
Chapter 12: Assumptions
Chapter 13: Relationships
Chapter 14: The general linear model
Chapter 15: Comparing two means
Chapter 16: Comparing several means
Chapter 17: Factorial designs
Epilogue: The genial night


Find the Online Resources
Instructor Resources (Log-in needed)

Editable PowerPoint Slides to allow you to easily integrate each chapter into your lessons
A Teaching Guide, containing advice on using the narrative and learning features in your teaching
A testbank of multiple choice questions and short exercises to test students' understanding of the material 
Resource Pack to easily upload all the lecturer and student resources into your university’s online learning platform (i.e. Blackboard or Moodle), and customise the content to suit your teaching needs.
Student Resources (Free to access)

Multiple-Choice Questions to help you practice and prepare for assessments and exams.
Solutions to the end-of-chapter JIG:SAW Puzzles, to help you track your progress.
Datasets and R scripts from each chapter with hands-on exercises and problems that allow you to apply your knowledge and work through the Check your Brain problems and end-of-chapter puzzles in the text.

Excellent practical guide that is easily accessible to students in healthcare

Dr Andy Graham
Occupational Therapy, Teesside University
June 29, 2023

Not aimed at appropriate level of students.

Dr Mark Fulford
School Of Business/Economics, Campbellsville University
May 9, 2023

This book seems like it is aimed at a younger audience. Although I found it very useful in parts I wonder if our mature students will respond well to the cartoon layout. I will use sections of the text to inform my teaching of the topic.

Ms Angela Woods
Dept of Health & Social Studies, Bolton University
July 11, 2022

A good informative book. However, to detailed in many ways for my students.

Dr John Donaghy
Allied Health & Medicine (Cambridge), Anglia Ruskin University
January 25, 2023

A good introduction to key concepts in a novel and engaging format.

Dr Gregory Allen
Business and Law, Anglia Ruskin University
June 20, 2022

This is a must-have book for any students doing their dissertation project using statistics and quantitative methods. The book is easy to follow and very comprehensive.

Mr Alfonso Pezzella
Dept of Mental Health, Social Work, Middlesex University
October 10, 2022

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ISBN: 9781529797138
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