Statistical Literacy: A Beginner′s Guide

Auteur

Professor Rhys Christopher Jones is a Professor of Statistical Literacy and Associate Dean of Education at the Faculty of Health and Medical Sciences, at the University of Surrey. Prior to this, he was based in the Department of Statistics at the University of Auckland, which is a world leading department in the areas of statistics and statistics education. He has a broad academic background in the areas of biology, chemistry, statistics, and education, and has held lecturing positions at the University of Auckland, Cardiff University, London Southeast College, and Birmingham City University. Over his career he has taught a variety of subjects, at both undergraduate and postgraduate level, which include statistics, quantitative methods, mathematics for science, teacher training, research methods, biomedical science, nutrition and organic chemistry, health and well-being, and clinical anatomy and physiology. He has also taught a variety of science-based subjects in FE colleges, which include GCSE, BTEC, Access and A levels. His primary research contributions are in the areas of curriculum development, randomness misconceptions, and the role of context in statistics education. Rhys s research interests also focus on mathematical and statistical anxiety, helping to inform strategies to engage and motivate people in these subjects.

Rhys has developed extensive experience in using active learning approaches in the teaching of statistics, to thousands of students over his career. In using these approaches, he has thoroughly enjoyed the challenge of bringing to life the teaching of statistics, across a range of disciplines and education levels (in schools and at university) across the planet. These teaching and learning activities have been incorporated throughout this book, to help engage and excite people in the art of statistical literacy, and the creation of compelling data stories.

Texte du rabat

Practical and reassuring, this textbook is perfect for anyone trying to understand statistics and build a solid foundation in working with data and numbers.

Contenu

Chapter 1: Introduction
Chapter 2: Building a foundation
Chapter 3: Polls and surveys
Chapter 4: Introduction to categorising and visualising data
Chapter 5: The language of statistics and statistical inference
Chapter 6: An introduction to data stories
Chapter 7: Media reports and social media platforms
Chapter 8: Experiments and observational methods in research
Chapter 9 How to read journals with quantitative data
Chapter 10: Telling stories with descriptive data, tables, and graphs
Chapter 11: Common misconceptions in statistics and statistical literacy
Chapter 12: Statistics communicated badly
Chapter 13: The power of statistical literacy and statistical reasoning