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Type II error

By Jim Frost

In a hypothesis test, a type II error occurs when you fail to reject a null hypothesis that is actually false. In other words, you obtain an insignificant test result even though a population effect actually exists. Some combination of a small sample size, inherent variability in the data, and bad luck with random sample error might have obscured the population effect.  You can decrease the probability of a type II error by increasing the power of the test.

Related

Related Articles:
  • Glossary: Hypothesis tests
  • Types of Errors in Hypothesis Testing
  • Using Confidence Intervals to Compare Means
  • Statistical Hypothesis Testing Overview
  • How to Calculate Sample Size Needed for Power

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