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Topic: Data Literacy D1.1 – Identifying Biases

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Ontario Curriculum Expectation:

5.D1.1 explain the importance of various sampling techniques for collecting a sample of data that is representative of a population.


What is Bias?

It is important to collect data samples that can represent the population without bias.

Bias is when a survey does not equally or fairly represent the population.

For Example: Your teacher is asking the class what pizza they would like, but the teacher only asks 3 out of 24 students. The survey is biased.

To avoid bias a survey must be conducted fairly.