Topics from Australian Conferences on Teaching Statistics

Helen MacGillivray, Professor, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia. Michael Martin, Professor of Statistics, School of Finance and Applied Statistics, Australian National University, Canberra, Australia. Brian Phillips, Associate Professor, Life and Social Sciences, Swinburne University of Technology, Victoria, Australia.

Interacting with data, concepts and models: illustrations from the rpanel package for R.- An elephant never forgets – effective analogies for teaching statistical modelling.- Experience early, logic later.- Transforming statistics education in South Africa.- Beyond the statistical fringe.- The development of a first course in statistical literacy for undergraduates.- Spreadsheets and Simulation for teaching a range of statistical concepts.- Navigating in a new pedagogical landscape with an introductory course in applied statistics.- The Golden Arches: an approach to teaching statistics in a first year university service course.- How do students learn statistical packages? A qualitative study.- A comparison of first year statistics units’ content and contexts in a multinational study, with a case study for the validation of assist in Australia.- Understanding the quantitative skill base of business students for statistics.- Square PEGs in round holes: academics teaching statistics in industry.- Raising the capability of producers and users of official statistics.- Education for a workplace statistician.- Improving teachers' professional statistical literacy.- Statistical training in the workplace.- Engaging research students in online statistics courses.- Engaging entry level researchers in agriculture in statistical communication and collaboration: why? and how?.- Researchers’ use of statistics in creative and qualitative disciplines.- Evaluation of the learning objects in a largely online postgraduate teaching program: the effects of learning style.- Problem-based learning of statistical sampling concepts using fantasy sports team data.- BizStats: a data and story library for business statistics.- Statistics training for multiple audiences.