Type one and type two error-avoiding one type or another

Reference no: EM13100290

Statistically speaking, we are generally agnostic to which is a bigger problem, type I (false positive) errors or type II (false negative) errors. However, in certain circumstances it may be important to try and put more emphasis on avoiding one or the other.

Can you think of a policy; political, economic, social, or otherwise, that pushes people toward avoiding one type or another?

Reference no: EM13100290

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