Equivalence Testing as an Alternative to Significance Testing

  • Huh, Myung-Hoe (Department of Statistics, Korea University, Seoul 136-701)
  • Published : 1994.06.01

Abstract

Sometimes a researcher with a view of conventional significance testing rejects his/her hypothesis, even through it could have not been rejected with a smaller sample. This can be a logical dilemma for a researcher who wants to "prove" a hypothesis rather than to show discrepancy from a null hypothesis. In this study, a new testing paradigm called equivalence testing via confidence interval will be developed so that it is suitable for the purpose of statistical proof.cal proof.

Keywords

References

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