Selection Bias

Notes

Selection Bias is when we unintentionally create a situation of Garbage in garbage out by having a biased data to use in our model or in our thinking process. For example, deciding to run a "do you support gun legislation" survey at a NRA conference will lead to biased results and won't truly represent the actual population Population and sample estimates. Some cases can be less obvious, like doing surveys over the phone, while not asking ourselves which population is less likely to have a phone (Amish, elderly, kids...).

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Overview

🔼Topic:: Statistics (MOC) ↩️Origin:: 🔗Link::