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Re: Stats Power. Report Confidence Limits - p values

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  • Re: Stats Power. Report Confidence Limits - p values

    To comment and question some of Dr. Allison's insight:

    >>My understanding of the arbitrary "line in the sand" of 0.05 was
    >>originally due to the choice of the original tables (pre computer)

    I have heard this too. It was very tedious to calculate probabilities (pre
    Personal Computer) as is done now, so the investigator would pick the
    appropriate values to simplify the calculations.

    >>The p value reflects the probability of the observed change happening by
    chance.

    Isn't this only correct if the null hypothesis is correct (not
    rejected?). This is why (as explained to me by statisticians - I won't
    claim authority here) it is considered incorrect to differentiate
    "significant" from "very significant" from "highly significant"? I present
    this point because of your comment about relating the alpha level to the
    seriousness of the outcome.



    Bryan Kirking
    ProbaSci LLC
    tel. 512.218.3900
    fax. 512.218.3972
    www.probasci.com
    bryan@probasci.com

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