Equivalence Testing. Dig it!. Outline. Intro Two one-sided test approach Alternative: regular CI approach Tryon approach with “ inferential ” confidence intervals. Tests of Equivalence.
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With our regular t-tests, to conclude there is a substantial difference you must observe a difference large enough to conclude it is not due to sampling error
The same approach applies with equivalence testing
To conclude there is not a substantial difference you must observe a difference small enough to reject that closeness is not due to sampling error from distributions centered on large effectsConceptual approach
If the difference between means
falls in this range, we would
conclude the means belong to
between equivalence and confidence intervals. This is from the first approach.