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Friday, 11 November 2011

Statistic (2)

Type 1 (alpha) error
- null hypothesis is falsely rejected (false positive)
- equals significance level of a test

Type 2 (beta) error
- null hypothesis is falsely accepted (false negative)

Power of a test (power of a test to detect a difference)
= 1 - beta
= 1 - (type 2 error)

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