Null hypothesis — role?
Default claim of no effect.
Type I error — definition?
False positive; effect found when none exists.
Null hypothesis (statistical)
States no effect or difference.
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.
Answer 11 questions on Understanding Statistical Errors and Reproducibility.
1. In frequentist hypothesis testing, what does the null hypothesis stance represent?
2. Which outcome is a true negative in the study outcome framework?
Go over the full study guide for Understanding Statistical Errors and Reproducibility.
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