Significance Testing
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
- Determine whether the observed result can be attributed to chance factors. - If the p-value is less than the significance level α, reject the null hypothesis.
SCAFFOLDING EFFECT
Reduce cognitive load
Distinguish signal from noise. Provide statistical judgment criteria, but be wary that "statistical significance ≠ practical importance." (Merge: significance level)
Anchor fast decisions
In statistics, by testing the null hypothesis and calculating the p-value, it is determined whether the observed difference is likely due to random chance; if the p-value is less than a threshold (e.g., 0.05), it is considered "statistically significant."
MINIMUM ACTION
In progress 0/3Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E6%98%BE%E8%91%97%E6%80%A7%E5%B7%AE%E5%BC%82verified
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