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# Bias in data

Bias in data can result from:

- survey questions that are constructed with a particular slant
- choosing a known group with a particular background to respond to surveys
- reporting data in misleading categorical groupings
- non-random selections when sampling
- systematic measurement errors.

## Dice duels

This digital object allows students to explore the mathematical principles of bias through investigations with loaded dice.

## Biased data

It is important for students to realise that the data they collect may be biased in many different ways. The activity explores accuracy and precision.