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.
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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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