These are the Transum resources related to the statement: "Recognise and interpret possible outliers in data sets and statistical diagrams. Select or critique data presentation techniques in the context of a statistical problem. Be able to clean data, including dealing with missing data, errors and outliers".
Here are some specific activities, investigations or visual aids we have picked out. Click anywhere in the grey area to access the resource.
Here are some exam-style questions on this statement:
- "Ben measured the length and the width of each of 10 sea shells of the same type. The results are shown below." ... more
- "The scatter graph shows the maximum temperature (oC) and the number of bowls of soup sold at a sandwich shop on twelve randomly selected days last year." ... more
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.
- Statistics Statistics is the study of the collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments. It also includes describing mathematical relationships between variables and presenting these to an audience in a way that best conveys meaning. See also the topics called Data Handling, Probability and Averages.
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