03 is below the 0. The Mechanics of Statistical Significance The concept of significance testing revolves around a critical boundary known as the alpha level.
Controlling the False Discovery Rate in Multiple Hypothesis Testing
05, the result is labeled statistically significant, suggesting evidence against the null hypothesis. 03, it indicates that there is a 3% probability of observing the data (or more extreme data) if the null hypothesis were true.
05 significance level, you would expect to see one false positive purely by chance, even if all hypotheses are null. The Role of Sample Size and Effect Magnitude The sensitivity of the p value to sample size creates a scenario where even trivial effects can be labeled significant in large datasets.
Controlling the False Discovery Rate in Multiple Hypothesis Testing
05 threshold, the result is deemed significant, implying that the finding is unlikely to be due to random variation alone and that the alternative hypothesis merits consideration. When this probability falls below a predetermined threshold, conventionally set at 0.
More About What p values are significant
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