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New perspectives in statistics education
Join us for an evening of new perspectives in statistics education, with Sue Finch, Ian Gordon, and Nick Tierney • 5.45–6.15pm, Refreshments in the staff room of the Peter Hall building (https://maps.unimelb.edu.au/parkville/building/160) • 6.15–7.15pm, Talk, Evan Williams Theatre (https://studentvip.com.au/unimelb/parkville/maps/63455), Peter Hall building • 7.30pm, Dinner at University Cafe (http://www.universitycafe.com.au/) New perspectives in statistics education featuring Sue Finch, Ian Gordon, and Nick Tierney Back to basics? Identifying educational needs through statistical consulting - Sue Finch (https://scc.ms.unimelb.edu.au/people/sue) In statistical consulting the educational needs of clients can vary widely, and a consultant may need to work to develop statistical thinking and/or analytic competencies within a limited timeframe. What can a consultant assume about a client’s knowledge and educational needs? What is the relationship between clients’ broadly-defined analytic competence and understanding of fundamental statistical concepts and ideas? What are the implications for consulting practice and training in a world with more, ‘bigger data’? In our unique study, we carried out surveys of clients and consultants based on actual consultations between experienced applied statisticians and clients. We focus on the consultant data in addressing these questions. Confidence intervals and replication: the reality - Ian Gordon (https://scc.ms.unimelb.edu.au/people/ian-gordon) In the climate of ‘replication crises’ across many disciplines, but particularly psychology, there has been a focus on the reproducibility of statistical inferences in various forms. Confidence intervals and the perspective of estimation have long been regarded as more insightful than P-values and hypothesis testing, for representing simple statistical inferences. It has been argued that P-values should be abandoned altogether. Two recent arguments in favour of this proposition are that confidence intervals have (1) superior “replication” to, and (2) less variation than, P-values. I discuss these arguments and show they are unsound; a different statistical perspective is presented. Rethinking statistical computing: Understanding how learning works means we need to rethink how we teach. - Nick Tierney (https://www.njtierney.com/about/) Researchers, analysts, and statisticians need to perform analyses, and this (usually) means that they need to learn how to code. They are, however, often not taught how to code. So how do they start? This talk discusses evidence based principles on teaching from the book: "How Learning Works", and how they can be applied to teach statistical computing. The talk is based off of Nick's experience going through Software Carpentries Trainer Training curriculum, and his experience learning and teaching R over the past 5 years. SSA Vic is grateful to Ian and Sue for sharing their ICOTS talks with us. (https://icots.info/10/)

Evan Williams Theatre, Peter Hall Building

University of Melbourne · Melbourne

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The Victorian Branch of the Statistical Society of Australia (SSA Vic) is a professional association for statisticians in Victoria and Tasmania, and for anyone with an interest in statistical data science. Our objective is to further the study, application and good practice of statistical theory and methods in all branches of learning and enterprise. Members and non-members are welcome to join this Meetup group.

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