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In inferential statistics, this term is also known as the “Type II error,” “â error,” or “error of the second kind” and describes the error of failing to reject a null hypothesis (groups do not differ significantly in the variable x) when the alternative hypothesis would be more adequate (groups differ significantly in the variable x). The probability of committing this error is formulated as “â,” and the power of the statistical test is “1 - â.” False negatives may occur due to random error in measurement. They may also occur due to low effect sizes of the investigated relationship between variables, which determines the power of the statistical test. The â cannot be set like á, the significance level of a test, which influences ...