Lasse Kliemann writes:
> What is the rationale behind having both the delta and sd parameters for
> the power.t.test function? For the relevant noncentrality parameter, we
> only need the ratio delta/sd. If my effect size is given as Cohen's d,
> then I only got that ratio and not sd.
>
> As far
> On Dec 14, 2017, at 2:26 PM, Lasse Kliemann wrote:
>
> What is the rationale behind having both the delta and sd parameters for
> the power.t.test function?
One is the standard deviation of the hypothesized data (or pooled sd in the
case of two sample) under the "alternative" and one is the
What is the rationale behind having both the delta and sd parameters for
the power.t.test function? For the relevant noncentrality parameter, we
only need the ratio delta/sd. If my effect size is given as Cohen's d,
then I only got that ratio and not sd.
As far as I see, in such a case, I can spec
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