1.

Why do we need selection bias?

Answer»

Selection Bias happens in cases where there is no RANDOMIZATION specifically achieved while PICKING a part of the dataset for analysis. This bias tells that the sample analyzed does not represent the WHOLE POPULATION meant to be analyzed.

  • For example, in the below image, we can see that the sample that we SELECTED does not entirely represent the whole population that we have. This helps us to question whether we have selected the right data for analysis or not.


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