Type 2 Error (β) Calculator for One-Sample Z-Test
A Type II error is a fundamental concept in statistical hypothesis testing that occurs when a test fails to reject a false null hypothesis. In other words, it is a false negative: you conclude there is no effect or difference when, in reality, one exists. The probability of a Type II error is denoted by β (beta), and understanding it is … Read more