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Listed under:  Mathematics  >  Statistics and probability  >  Data representation  >  Graphs (Data representation)  >  Column graphs
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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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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: Scrabble Stats

This sequence of lessons invites students to collect data about letter frequency in a variety of text sources. They use their findings to critically evaluate letter point values in Scrabble, compare them to historical values, create their own themed Scrabble point values and to decipher an encoded excerpt of text. Each ...

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ACMF: Effects of selective breeding

This resource is a web page providing information about an experiment on the growth rate of different chicken breeds carried out by students at James Ruse Agricultural High School in NSW, which shows the influence of selective breeding on chicken weight. It includes a side-by-side column graph comparing the weight of egg ...

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Rubbish recording and reduction: Part 2

In this lesson sequence students use Excel to represent data in a variety of ways.

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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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MoneySmart: Advertising detectives

In ASIC's MoneySmart Teaching Advertising detectives students will become detectives in a bid to help solve an alarming case of advertisements influencing children to buy or want a product. Students will investigate the different gimmicks/tricks used in advertising, how they target children and how their effect can be minimised. ...

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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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Mixed Up Maths, Ep 8: Strawberry milkshake warrior princess

Super heroes have amazing powers. To avert disaster we need a super hero who has intelligence, strength and speed. Which super hero has the right super units of each super power? Compare the super hero bar graphs. Will it be Mega Muscle Man, Atomic Angel, Keyboard Kid or some other super hero? Watch the clip to find out?

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TIMES Module 5: Statistics and Probability: data investigation and interpretation, year 8 - teacher guide

This is a 32-page guide for teachers. This module includes some introductory notions of sampling to obtain random representative data.

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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 4: Statistics and Probability: data investigation and interpretation, year 6 - teacher guide

This is a 23-page guide for teachers. This module uses a number of examples to illustrate different types of data and develop the statistical data investigation process. It suggests the following steps: considering the initial questions that motivate an investigation; identifying issues; planning, collecting, handling and ...

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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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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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The First Fleet - dataset collections

The dataset provides information about 780 of the convicts transported to Australia on the First Fleet ships 'Alexander', 'Charlotte', 'Lady Penrhyn', 'Friendship', 'Prince of Wales' and 'Scarborough' in 1788. The dataset includes information on items such as the convict's name, occupation, crime, date of trial and term ...

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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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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.