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Students’ understanding of randomness after an introductory tertiary statistics course

conference contribution
posted on 2023-05-23, 14:08 authored by Robyn ReaburnRobyn Reaburn
Random sampling and random allocation are essential processes in the practice of inferential statistics. These processes ensure that all members of a population are equally likely to be selected, and that all possible allocations in an experiment are equally likely. It is these characteristics that allow the validity of the subsequent calculations that use probabilistic reasoning. This paper suggests that despite the importance of these processes, students may poorly understand the characteristics of these processes, and the reasons for them. The paper concludes with suggestions for the improvement of teaching these topics.

History

Publication title

Proceedings of the 42nd Annual Conference of the Mathematics Education Research Group of Australasia

Editors

G Hine, S Blackley and A Cooke

Pagination

572-579

ISBN

978-1-920846-31-2

Department/School

Faculty of Education

Publisher

The Mathematics Education Research Group of Australasia

Place of publication

Adelaide, Australia

Event title

42nd Mathematics Education Research Group of Australasia Conference

Event Venue

Perth, Australia

Date of Event (Start Date)

2019-06-30

Date of Event (End Date)

2019-07-04

Rights statement

Copyright 2019 MERGA

Repository Status

  • Restricted

Socio-economic Objectives

Learner and learning not elsewhere classified

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