Type II Error


When testing a hypothesis, this sort of error occurs when the null hypothesis is NOT rejected but should be rejected. The probability that this type of error occurred is represented by the Greek letter beta.

Examples:

  • A quality engineer passes a product when in fact it is defective
  • A defendant is acquitted but in truth, they are guilty
  • Employees of a company assume that the company does NOT have a particular problem but in fact the problem exists