Rethinking how randomness is taught in K-12 statistics subjects

Fuente: arXiv
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1. Verfasser: Ramos, Mark Louie F.
Format: Preprint
Veröffentlicht: 2026
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author Ramos, Mark Louie F.
author_facet Ramos, Mark Louie F.
contents The effective teaching and learning of statistics persist as a challenge in K-12 education and has clear impacts in developing competence and confidence of students in entering STEM fields especially in today's digital age of data science. In this paper, it is proposed that the current pedagogy around teaching the concept of randomness, a core element of statistics, is incomplete. It is argued that expanding on the observer-relative nature of randomness will address commonly existing ambiguities on what is and what is not random, help in explaining more complex statistical concepts such as hypothesis testing, and impart greater awareness on the practical value of the practice of statistics in data science.
format Preprint
id arxiv_https___arxiv_org_abs_2602_17716
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Rethinking how randomness is taught in K-12 statistics subjects
Ramos, Mark Louie F.
History and Overview
The effective teaching and learning of statistics persist as a challenge in K-12 education and has clear impacts in developing competence and confidence of students in entering STEM fields especially in today's digital age of data science. In this paper, it is proposed that the current pedagogy around teaching the concept of randomness, a core element of statistics, is incomplete. It is argued that expanding on the observer-relative nature of randomness will address commonly existing ambiguities on what is and what is not random, help in explaining more complex statistical concepts such as hypothesis testing, and impart greater awareness on the practical value of the practice of statistics in data science.
title Rethinking how randomness is taught in K-12 statistics subjects
topic History and Overview
url https://arxiv.org/abs/2602.17716