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These are the Transum resources related to the statement: "Pupils should be taught to describe simple mathematical relationships between two variables (bivariate data) in observational and experimental contexts and illustrate using scatter graphs.".

Here are some specific activities, investigations or visual aids we have picked out. Click anywhere in the grey area to access the resource.

- Cartoon Scatter Graph Place the cartoon characters on the scatter graph according to their height and age.
- Correlation Arrange the given statements in groups to show the type of correlation they have.
- Human Scatter Graphs Pupils move to positions in the room according to their data relative to the walls as axes.
- Plotting Scatter Graphs Plot scatter graphs from data representing a number of different everyday situations.

Here is an exam-style questions on this statement:

Click on a topic below for suggested lesson starters, resources and activities from Transum.

- Data Handling Data is talked about more this decade than ever before. Whether it be how social media companies deal with your personal data or how analysing data can improve algorithms for systems that make everyday life easier or more profitable. Pupils are first introduced to small, familiar data sets and learn to visualise them in many different ways. They may produce their own data from experiments, observations or games and will then describe their data in different ways. Pupils will calculate averages and other summary measures (mean, median, mode range) and produce bar charts, pie charts and box plots. Older pupils will use technology to help analyse larger data sets and will be introduced to inter-quartile range and standard deviation. They will draw conclusions from scatter diagrams, and have a basic understanding of correlation. They will learn how to apply statistical information to calculate probabilities. See also the topics called Statistics, Averages and Probability.
- Live Data One of the big differences between Maths from a textbook and Maths from the web is the possibility of using live data. This possibility gives problem solving real context and allows investigating statistical connections to be far more meaningful.

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