Alpha (ɑ)

Definition

Alpha (ɑ) refers to the significance level used in statistical tests. It represents the probability of making a Type I error by rejecting the null hypothesis when it is actually true.

Related terms

Null Hypothesis (H0): The null hypothesis assumes no significant difference or relationship between variables and is tested against the alternative hypothesis using alpha.

Type I Error: Type I error occurs when we reject the null hypothesis when it is actually true, indicating a false positive result.

P-value: The p-value is a measure of evidence against the null hypothesis. It represents the probability of obtaining results as extreme as observed, assuming that the null hypothesis is true.