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Listed under:  Mathematics  >  Statistics and probability  >  Distributions (Statistics)  >  Categorical data
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Acquire, record and represent data: Year 1 – planning tool

This planning resource for Year 1 is for the topic of Acquire, record and represent data. Students consolidate and extend upon their knowledge of data. They collect and record categorical data in various ways including using tally marks, objects and drawings. They represent data using one-to-one displays and refer to these ...

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Interpret and compare data displays: Year 3 – planning tool

This planning resource for Year 3 is for the topic of Interpret and compare data displays. Students create and compare different graphical representations. They interpret the data and make generalisations.

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Represent collected data: Year 9 – planning tool

This planning resource for Year 9 is for the topic of Represent collected data. Students are familiar with different types of visualisations of data and variables and can evaluate and interpret data displays. Students can label data as categorical (ordinal or nominal) or numerical (discrete or continuous) and consider which ...

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Interpret and compare data displays: Year 6 – planning tool

This planning resource for Year 6 is for the topic of Interpret and compare data displays. Students interpret and compare datasets using different data displays and visualisations.

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MoneySmart: The house of needs and wants

This is a unit of work integrating aspects of the mathematics, English and science curriculums around planning a school breakfast. The unit was written for year 3 and is intended to take about 12 hours. It consists of 11 student activities supported by teacher notes on curriculum, pedagogy and assessment. Student activities ...

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MoneySmart: It's raining cats and dogs...and chickens?

This is a year 6 mathematics unit of work about keeping pets. The unit is intended to take about 12 hours of teaching and learning time, and is recommended for near the end of the school year. It consists of an introduction, seven sets of student activities, and teacher notes. The student activities include building a word ...

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reSolve: Reconciliation data

This lesson prompts students to examine data from the Reconciliation Barometer report, collect their own local data and compare with the national findings. Students discuss the meaning of reconciliation, explore statements from Reconciliation Barometer report, design a survey to collect local data relating to the statements ...

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Rubbish recording and reduction: Part 1

In this lesson sequence students survey and collect data concerning what is brought to school each day and subsequently becomes rubbish. They then use Excel to represent that data in a variety of different ways.

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TIMES Module 3: Statistics and Probability: data investigation and interpretation, year 5 - teacher guide

This is a 13-page guide for teachers. In this module, in the context of statistical data investigations, measurement data is introduced and contrasted with categorical data and count data. This module also considers more general examples of count data than the year 4 module.

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TIMES Module 7: Statistics and Probability: data investigation and interpretation, year 9 - teacher guide

This is a 26-page guide for teachers. In year 8, students developed an understanding of the nature of censuses, surveys and observational studies. Year 9 develops this understanding further, and introduces examples of experimental investigations with an emphasis on random allocation of the combinations of experimental conditions. ...

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Comparing data

This is a website designed for both teachers and students that addresses data comparison from the Australian Curriculum for year 9 students. It contains material on comparing data by developing questions, conducting data collection, displaying data and exploring and interpreting that data using a range of strategies. There ...

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TIMES Module 2: Statistics and Probability: data investigation and interpretation, year 4 - teacher guide

This is a 13-page guide for teachers. It continues the development of probability. An informal consideration of outcomes is undertaken.

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TIMES Module 2: Statistics and Probability: data investigation and interpretation, year 7 - teacher guide

This is a 13-page guide for teachers. In this module, in the context of statistical data investigations, we build on the content of year 5 on measurement data and count data with many different observed values of counts. Because these data types are quantitative, investigation and interpretation include considerations of ...

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Activity: energy then and now

This is a web resource about changes in energy use over time that provides a student activity and a detailed teacher guide. The activity requires the student to record the types and numbers of electrical appliances used at home, interview an older person about appliances they used when growing up and any alternatives used, ...

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Data in Gapminder world

This resource is a dataset providing data for a number of indicators of development over time for more than 200 countries. The indicators fall into the following categories: population, health, economy, environment, work, infrastructure, energy and education, with over 500 sets of data in total. Each set of data can be ...

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TIMES Module 8: Statistics and Probability: data investigation and interpretation, year 10 - teacher guide

This is a 29-page guide for teachers. Box plots are introduced as another graphical tool and are used for comparisons of data. Scatter plots are used to explore relationships between quantitative (usually continuous) variables.

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reSolve: Data - Making decisions

This sequence of two lessons explores data collection, representation and interpretation, particularly graphs. Students are presented with unlabelled graphs and invited to add their own labels and create a story to describe the graph. They are then asked to conduct an experiment testing the viscosity of household substances ...

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reSolve: Sport Stats

In this lesson, students examine sporting scores and explore the concept of the average of a set of scores. Students collect sporting scores from real and hypothetical games, use blocks to visualise an even distribution of scores across matches and then explore how to calculate the average of a set of scores. The lesson ...

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reSolve: Authentic Problems: What's For Lunch?

This sequence of four lessons invites students to investigate how many of a chosen food item are eaten at their school in a year. Students identify the mathematical knowledge they need to find how many of the selected items they eat in a year and devise a plan to find the total number, using grouping, partitioning and repeated ...

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reSolve: What a Load of Rubbish

In this series of three lessons, students conduct an audit of the rubbish they find in their playground. They use a range of categories to sort, display and interpret the data and make simple inferences. They then reclassify the rubbish collected as to whether it can be recycled, composted or if it needs to go into the ...