The significance level
Example: Significance level defines threshold for rejecting null hypothesis
Definition
"The significance level" is a threshold used in research to determine whether to reject the null hypothesis. It represents the probability of rejecting the null hypothesis when it is actually true, commonly set at values like 0.05 or 0.01 to control the risk of Type I errors.
Etymology
The term "the significance level" originates from statistical hypothesis testing, where "significance" refers to the importance or meaningfulness of results. "Level" denotes a specific point or threshold. Combined, they describe the critical probability boundary for deciding if observed data is statistically significant.
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"The significance level" appears in the Vocaplus list "English - Research - (A1-C2) - set 1", containing 108 commonly used words.
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