significance level
In statistical hypothesis testing, the 'significance level' helps determine the threshold for deciding whether an observed effect is statistically significant.
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Definition
C1Statistical Hypothesis Testing
(technical, academic)The probability of rejecting a true null hypothesis, representing the maximum acceptable risk of a Type I error.
Example
- A significance level of 0.05 means there is a 5% chance of incorrectly rejecting the null hypothesis.
C1Statistical Analysis
(technical, academic)A threshold set by researchers that determines the maximum probability of concluding that an observed effect is real when it is actually due to chance.
Example
- If the p-value is less than the significance level, the result is considered statistically significant.
Similar
Terms that have similar or relatively close meanings to "significance level":