Power
Definition
Power refers to the probability of correctly rejecting a false null hypothesis. It measures our ability to detect an actual effect or relationship.
Analogy
Imagine you're playing a video game and your character has a power meter that shows how strong their attacks are. The higher the power, the more likely you are to defeat enemies and succeed in the game.
Related terms
Type I Error: This refers to incorrectly rejecting a true null hypothesis, meaning we conclude there is an effect or relationship when there isn't.
Type II Error: This occurs when we fail to reject a false null hypothesis, meaning we miss detecting an actual effect or relationship.
Effect Size: Effect size measures the magnitude of the difference or association between variables. A larger effect size increases the power of a statistical test.
"Power" appears in:
Subjects (13)
Additional resources (1)
Practice Questions (2)
- What is power in the context of hypothesis testing?
- What is the power of a statistical test?
Resources
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