Statistics education in the disciplines and the workplace



Statistical practitioners facing the need to search for and/or collect, process, analyze, interpret and/or report on data as part of their job, work in many different subject areas such as humanities, social sciences, business and economics, government, law, politics and journalism. In this set of invited sessions we aim to facilitate their discussions with statistical educators as well as institutional data providers to explore ways in which effective statistical education and training can help improve statistical practice in any given subject area at any given workplace. Accountability conventions, along with values and ethical imperatives of a given discipline, resonate with this theme.


5AEvidence-based policy makingSteve MacFeely (Ireland)
5BEvidence-based managementIrena Ograjenšek (Slovenia)
5CStatistics education beyond qualification (panel discussion)Jennifer Freeman (United Kingdom)
Ronald Wasserstein (United States)
5DDevelopment of statistical thinking in the workplaceShirley Coleman (United Kingdom)
5EMentoring young statisticians in the workplaceCarol Joyce Blumberg (United States)
5FBridging the gap between current statistical practice in the workplace and modern statisticsJennifer Brown (New Zealand)
John Maindonald (Australia)
5HIn search of evidence: exploring the relationship between real workplace based data and statistics educationSharleen Forbes (New Zealand)