Type I Error

Definition

Type I error refers to rejecting a true null hypothesis. It occurs when we conclude there is a significant difference or relationship between variables when there actually isn't one.

Related terms

Type II Error: Type II error occurs when we fail to reject a false null hypothesis.

Power: Power is the probability of correctly rejecting a false null hypothesis.

Hypothesis Testing: Hypothesis testing is a statistical method used to make inferences about population parameters based on sample data.