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Data handlingIs data robust?

It is important to make sure any information you work with is robust. Things to look out for include validity of the source, scale used, sample size, method of presentation and appropriateness of how the sample was selected.

Part of MathsData analysis

Is data robust?

It is important to be able to tell whether a piece of information is robust, vague or misleading. This will help you when selecting reliable data to work with.

When looking at data, it is useful to assess:

  • the validity of the source
  • the scale used
  • the sample size
  • how the sample was selected
  • how the data is presented