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Listed under:  Mathematics  >  Statistics and probability  >  Data analysis
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Animal survivor

This resource provides a scaffold for students to analyse the features of a Queensland animal and relate them to its survival success. Students then conduct the animal design challenge: Engineering new features for their animal to increase its chance of survival and future success. Students also make predictions about how ...

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Sustainable agriculture: agri-environmental indicators

This is a web resource that provides a database of agri-environmental indicators for environmental performance of agriculture in OECD countries between 1990 and 2008. The data table can be customised, with options to view by country or by theme: land, energy, air, nutrients, soil, biodiversity, pesticides, water, farm management ...

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Journeys to Australia

This unit presents a learning sequence for Year 6 students to develop their historical inquiry skills by investigating the key immigration policies and programs Australia has implemented, identifying a range of reasons for migration, highlighting key events from post Federation to present day.

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Australian climate variability and change - trend maps

This resource is a Bureau of Meteorology (BOM) web page that provides trend maps for a number of climate variables including mean, maximum and minimum temperature, total rainfall, sea surface temperature, density of highs and lows, cloud cover and pan evaporation for Australia and for each state and the Northern Territory. ...

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Faith Lutheran College – Timeline

This document presents the milestones in Faith Lutheran College's participation in the Digital Technologies in Focus project.

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Statistical analysis: Year 10 – planning tool

This planning resource for Year 10 is for the topic of Statistical analysis. Students are competent with comparing data distributions and are fluent with the relevant mathematical vocabulary. Extend students to work with other data displays, such as box plots, to represent continuous numerical variables. Review the distinction ...

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DT Challenge - 7/8 Python - Smart garden

Learn how to program a BBC micro:bit using Python — no experience required. Learn the basics of programming in Python with our full BBC micro:bit simulator. Create a Smart Garden device to monitor the health of your plants, measuring temperature and wiring up a simple soil moisture sensor.

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Acquire, record and represent data: Year 2 – planning tool

This planning resource for Year 2 is for the topic of Acquire, record and represent data. Students review, consolidate and extend upon existing data understandings and skills. They collect data through surveys, observations and experiments. They explore and create different graphical representations of the data acquired. ...

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Interpret and compare data displays: Year 4 – planning tool

This planning resource for Year 4 is for the topic of Interpret and compare data displays. Students build on their use of data displays (visualisations) as well as extending their interpretation of data displays. The focus is to compare different representations of a dataset and analyse the effectiveness of different displays. ...

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Conduct statistical investigations: Year 10 – planning tool

This planning resource for Year 10 is for the topic of Conduct statistical investigations. Students continue to conduct statistical investigations and are introduced to contexts that involve bivariate data. It is important to review the meaning and relationship between dependent and independent variables, as well as the ...

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The humanoid project

Students explore a large data set.

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Work sample Year 6 Mathematics: Fundraiser

This work sample demonstrates evidence of student learning in relation to aspects of the achievement standards for Year 6 Mathematics. The primary purpose for the work sample is to demonstrate the standard, so the focus is on what is evident in the sample not how it was created. The sample is an authentic representation ...

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Australian Curriculum: Digital Technologies years 3-4 Digital Systems sample assessment task: Cooling the school

This document provides a scaffold to teach and assess students’ understanding of how digital systems can be used to monitor and collect information used for mapping and making judgements about the environment. Students record information using digital systems to investigate a school need, then design solutions to improve ...

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Data knowledge and skills tutorial: part 4 - analysing and visualising data

This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.

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Collecting data about litter in the community: years 3-4

This PDF provides activities for collecting, analysing and representing data about litter in the local community. It prompts students to consider the implications of rubbish in the local environment, and suggests actions students can take in order to reduce litter.

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Computational thinking cut out cards

This set of printable cards provides definitions of six aspects of computational thinking.

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Micro:bit missions: Take a chance on me (Integrating Mathematics): years 6-8

This resource comprises two activities that allow students to explore the concept of chance in Mathematics. Students use computational thinking while using a micro:bit as a digital system to generate and collect data. Students implement programs involving branching and iteration in visual and general-purpose programming languages.

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ACARA sample assessment task: years 5-6: Representing data

This resource provides strategies for assessing aspects of the Digital Technologies subject in the Australian Curriculum that relate to the representation of data in binary code. The resource includes an assessment planner and rubric, as well as links to curriculum and learning resources.

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Australian Curriculum: Digital Technologies Years F–2 Sample assessment task: Stepping out worksheet

This PDF is a worksheet that accompanies the years F-2 sample assessment task called Stepping out.

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Curzon & Bell et al. review: Computational thinking

This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.