False positives and negatives | StatsExamples

This video describes how the rates of false positives and false negatives can depend on the frequency of the condition or trait being tested for.

Using three examples, the video shows how even a highly accurate test can end up giving bad results most of the time. This inaccuracy is highest when the condition tested for is rare - which explains why doctors don't want to perform tests for rare conditions more than they have to.

A major problem for modern medicine is how to balance the downsides of too little testing versus too much testing.

This is the video that answers the question: what is the risk of false positives and negatives?

Statsexamples website:
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Link to a related video that discusses type I and type II errors is here:
Type I and type II errors | StatsExam...

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