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The Meanings of Statistical Variation in the Context of Work

Hoyles, Celia; Noss, Richard; (2007) The Meanings of Statistical Variation in the Context of Work. In: Lesh, Richard A and Hamilton, Eric and Kaput, James J, (eds.) Foundations for the Future in Mathematics Education. (pp. 7-35). Taylor and Francis: Abingdon, UK. Green open access

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Abstract

This chapter aims to sketch some of the categories of mathematical knowledge that characterize working practices in an era of ubiquitous technology. It explores the meanings of this mathematical knowledge—specifically statistical variation—at the boundaries between the different communities of actors within them. The chapter begins with the assumption that the advent of digital technology as a pervasive force at work necessitates a reappraisal of the nature of mathematical knowledge used at work and how it is communicated. It illustrates how the models of the workplace, particularly in relation to data modeling and statistical process control, play a range of roles for the different actors in the workplace activity system. The chapter provides information on techno-mathematical literacies, what needs to be appreciated, interpreted, and communicated horizontally and vertically within working communities.

Type: Book chapter
Title: The Meanings of Statistical Variation in the Context of Work
ISBN-13: 9781003064527
Open access status: An open access version is available from UCL Discovery
DOI: 10.4324/9781003064527
Publisher version: https://doi.org/10.4324/9781003064527
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/1515626
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