Statistics

Type II error

Tip II hata
Intermediate3 min read
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What does it mean?

A Type II error occurs when a false null is not rejected. Its probability, β, is defined for a particular alternative effect and design.

Think through an example.

An everyday example

A new interface may truly reduce time, but a small, variable sample may fail to detect the difference.

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True or false?

For a specified alternative, 80% power implies a 20% Type II error probability.

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Sources and further reading

Explore the foundations and methodological details in these resources. Examples on this page were created for illustration.