Null hypothesis — role?
Default claim of no effect.
Null hypothesis (statistical)
States no effect or difference.
Type I error — definition?
False positive; effect found when none exists.
Rejection of null
Concludes an effect exists.
True positive
Correctly detects effect.
Type I error
False positive, effect claimed but none.
Type II error
False negative, missed real effect.
P value (definition)
Probability data as extreme if null true.
Reproducibility crisis
Difficulty replicating study results.
Test your knowledge with 11 questions on Understanding Statistical Errors and Reproducibility.
1. In frequentist hypothesis testing, what does the null hypothesis stance represent?
2. What does a null hypothesis stance represent in statistical hypothesis testing?
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