Assessment Methods in Statistical Education: An International PerspectivePenelope Bidgood, Neville Hunt, Flavia Jolliffe Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of contributions written by some of the leading figures in statistical education from around the world, drawing on their personal teaching experience and educational research. The book reflects the wide variety of disciplines, such as business, psychology and the health sciences, which include statistics teaching and assessment. The authors acknowledge the increasingly important role of technology in assessment, whether it be using the internet for accessing information and data sources or using software to construct and manage individualised or online assessments. Key Features:
This book is essential reading for anyone involved in teaching statistics at tertiary level or interested in statistical education research. |
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Contents
PART B ASSESSING STATISTICAL LITERACY | 69 |
PART C ASSESSMENT USING REALWORLD PROBLEMS | 153 |
PART D INDIVIDUALISED ASSESSMENT | 201 |
References | 259 |
Index | 279 |
Other editions - View all
Assessment Methods in Statistical Education: An International Perspective Penelope Bidgood,Neville Hunt,Flavia Jolliffe No preview available - 2010 |
Assessment Methods in Statistical Education: An International Perspective Penelope Bidgood,Neville Hunt,Flavia Jolliffe No preview available - 2010 |
Assessment Methods in Statistical Education: An International Perspective Penelope Bidgood,Neville Hunt,Flavia Jolliffe No preview available - 2010 |
Common terms and phrases
2010 John Wiley ability approach appropriate asked aspects Assessing statistical assessment for learning Assessment Methods assessment strategy assignment categorical variable chapter concepts confidence intervals context Coventry University data analysis data collection data set descriptive statistics develop discussion Edited by Penelope examination example exercises experience feedback Flavia Jolliffe formative assessment Garfield grade Hunt and Flavia important individual individualised interpretation involved knowledge learning and assessment learning outcomes lecturer mail merge marks mathematics Methods in Statistical module multiple-choice Neville Hunt normal distribution P-value parameter peer learning Penelope Bidgood percentage poster problem psychology questions randomisation regression relevant sample spreadsheet SPSS Statistical Education Edited statistical literacy statistical reasoning statistical thinking statisticians statistics course summative assessment task teacher topics tutorial sheet types of assessment undergraduate understanding University of Auckland variables writing