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    This article explores the ways in which data can be sorted and displayed, and how data may be used for making predictions. It uses a parent’s job as a meteorologist and an upcoming sports competition as the contexts for using data. Students sort their data sets in a variety of ways, looking for clues and patterns.

    The journal article is tagged as supporting English, mathematics and statistics but it also supports the science capabilities ‘gather and interpret data’, ‘use evidence’ and ‘critique evidence’.

    Check your school library for the article from the 2013 Level 3 Connected journal, ‘Food for thought’, download it as a google slide presentation or order it from the Ministry of Education.

    Teacher support material and reusable content

    The teacher support material (TSM) can be downloaded from TKI. The material outlines key nature of science examples – within the context of data gathering and interpretation – profiled in the article. It includes five activities that involve gathering and using data. Two activities have specific science components: Whatever the weather and Climate change?

    The reusable content has text and images from the article.

    Related content

    Our article on weather forecasting includes an interactive timeline summarising the major historical developments in weather monitoring and forecasting.

    Scientists use modelling to help make predictions, below are some examples:

    Related activities

    Use these data gathering activities with your students:

    Useful links

    The Connected journals can be ordered from the Down the back of the chair website. Access to these resources is restricted to Ministry-approved education providers. To find out if you are eligible for a login or if you have forgotten your login details contact their customer services team on 0800 660 662 or email orders@thechair.minedu.govt.nz.

    Acknowledgement

    The Connected series is published annually by the Ministry of Education, New Zealand.

      Published 17 September 2019 Referencing Hub articles