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These are the Transum resources related to the statement: "Concepts of population, sample, random sample, discrete and continuous data. Reliability of data sources and bias in sampling. Interpretation of outliers. Sampling techniques and their effectiveness".

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.
- 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.

Sampling methods - aid memoire

- Simple random sampling [GDC skill random integer]
- Systematic sampling [Regular intervals]
- Convenience sampling [Convenient for the experimenter]
- Stratified/Quota sampling [Eg. School survey number from each YG proportional - randomly chosen]

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