Interesting! [General Sta­tis­tics]

posted by ElMaestro  – Denmark, 2017-03-29 13:20 (2874 d 06:47 ago) – Posting: # 17201
Views: 9,750

Hi DavidManteigas and d_labes,

❝ I'm also struggling with the question now. A 90% CI compares with a hypothesis test at 10%. The 90% CI is equivalent to a statistical assessment of equivalente at the 5% level due the TOST approach, since you're not assessing significance for the null hypothesis of difference in means.


I beg to differ; the 90% CI approach applies a 5% alpha. A product which in not truly BE (GMR is 0.8 or below; or 1.25 or higher, can't be both), will have at most 5% chance of passing BE; te CI is made from 1.0-2alpha but that does not mean 10% chance of approving a non-BE product.

It is the same alpha 5% that is used in the ANOVA where the null hypo is sameness.

If I am wrong here then it is my very basic understanding of statistics that needs thorough remodeling.

Pass or fail!
ElMaestro

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