Statistical Literacy
Autor Rhys Jonesen Limba Engleză Paperback – 5 apr 2024
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Specificații
ISBN-13: 9781529754797
ISBN-10: 1529754798
Pagini: 250
Dimensiuni: 170 x 244 x 14 mm
Greutate: 0.4 kg
Editura: SAGE Publications Ltd
ISBN-10: 1529754798
Pagini: 250
Dimensiuni: 170 x 244 x 14 mm
Greutate: 0.4 kg
Editura: SAGE Publications Ltd
Notă biografică
Rhys, Professor of Statistical Literacy, is an internationally recognised educational leader with significant experience in curriculum development and curriculum theory, statistics education, and engaging students in small and large classroom settings (offline and online). He also has extensive experience of using digital literacy skills and learning analytics to enhance the student experience, using digital platforms to assess student engagement and interaction. His disciplinary background was originally in the areas of biochemistry and immunology, which later focused on his passion for building bridges to make statistics more accessible for students and teachers
Rhys is a member of the Royal Statistical Society teaching section, as well as the Education Policy Advisory Group. Both committees work on a National and international level to improve the teaching of statistics and data science in schools, universities and relevant industry sectors. He is also a trustee of the Teaching Statistics Trust and an International Statistical Institute elected member. Formerly, he worked as an 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 institutions including 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 global perspectives and methods 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 his books, to help engage and excite people in the art of statistical literacy, and the creation of compelling data stories.
Rhys is a member of the Royal Statistical Society teaching section, as well as the Education Policy Advisory Group. Both committees work on a National and international level to improve the teaching of statistics and data science in schools, universities and relevant industry sectors. He is also a trustee of the Teaching Statistics Trust and an International Statistical Institute elected member. Formerly, he worked as an 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 institutions including 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 global perspectives and methods 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 his books, to help engage and excite people in the art of statistical literacy, and the creation of compelling data stories.
Cuprins
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
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