Towards more accessible conceptions of statistical inference

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dc.contributor.author Wild, CJ en
dc.contributor.author Pfannkuch, Maxine en
dc.contributor.author Regan, M en
dc.contributor.author Horton, NJ en
dc.date.accessioned 2012-03-12T22:09:38Z en
dc.date.issued 2011 en
dc.identifier.citation Journal of the Royal Statistical Society: Series A (Statistics in Society) 174(2):247-295 2011 en
dc.identifier.issn 0964-1998 en
dc.identifier.uri http://hdl.handle.net/2292/14050 en
dc.description.abstract There is a compelling case, based on research in statistics education, for first courses in statistical inference to be underpinned by a staged development path. Preferably over a number of years, students should begin working with precursor forms of statistical inference, much earlier than they now do. A side benefit is giving younger students more straightforward and more satisfying ways of answering interesting real world questions.We discuss the issues that are involved in formulating precursor versions of inference and then present some specific and highly visual proposals.These build on novel ways of experiencing sampling variation and have intuitive connections to the standard formal methods of making inferences in first university courses in statistics. Our proposal uses visual comparisons to enable the inferential step to be made without taking the eyes off relevant graphs of the data.This allows the time and conceptual distances between questions, data and conclusions to be minimized, so that the most critical linkages can be made. Our approach was devised for use in high schools but is also relevant to adult education and some introductory tertiary courses. en
dc.publisher Royal Statistical Society en
dc.relation.ispartofseries Journal of the Royal Statistical Society Series A: Statistics in Society en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0964-1998/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Towards more accessible conceptions of statistical inference en
dc.type Journal Article en
dc.identifier.doi 10.1111/j.1467-985X.2010.00678.x en
pubs.issue 2 en
pubs.begin-page 247 en
pubs.volume 174 en
dc.rights.holder Copyright: Royal Statistical Society en
pubs.end-page 295 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 251407 en
pubs.org-id Science en
pubs.org-id Statistics en
pubs.record-created-at-source-date 2011-12-05 en


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