A Type II error occurs when a statistical test fails to reject a Null Hypothesis that is, in reality, false. It means missing a true effect or difference, leading to a False Negative. This oversight diminishes a study's intended strength.
A Type II error occurs when a statistical test fails to reject a Null Hypothesis that is, in reality, false. It means missing a true effect or difference, leading to a False Negative. This oversight diminishes a study's intended strength.