Type I error
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What does it mean?
A Type I error occurs when a true null hypothesis is rejected. A prespecified alpha level controls this error probability for a valid test.
Think through an example.
An everyday example
Two interfaces have no real difference, but your test leads you to declare one. This can be a Type I error.
Test your understanding.
True or false?
Alpha=0.05 means every significant result has a 5% chance of being wrong.
Make the next connection
Explore related concepts to deepen your understanding.
Sources and further reading
Explore the foundations and methodological details in these resources. Examples on this page were created for illustration.
- OpenStax Source in EnglishOutcomes and the Type I and Type II Errors