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Exact(1)
The result multiplied by two is the 2-tailed probability that the means were identical.
Similar(59)
If the test concentration has no effect, both distributions and their means are identical.
The t test values are used to test the null hypothesis that the group means are identical.
Uniquely here means being identical after removing all constraints and additional information, retaining only the essential description of the transformation.
So if "being divine" means "being identical with a divinity" (i.e., being a thing which instantiates the nature divinity), then none of the persons are "divine".
Even though the means are identical for all three distributions (np), the binomial variance varb(x) and the hypergeometric variance varh(x) have distinct values, but varb(x) is always greater than varh(x) begin{aligned} varbleft( x right) = npleft( {1 - p} right), hfill varhleft( x right) = varbleft( x right)*left( {N - n} right)/left( {N - 1} right) hfill end{aligned}.
Both FWER and FDR assume high prior probabilities to the null hypotheses; i.e., the population means are identical.
Whereas the resampling simulations in the previous section confirmed that differences between condition means arise at approximately the same rates in each sample, the direct comparison of the distributions can confirm that the sources of the differences between condition means are identical for each sample (i.e., the location of the peak (mode) vs. the heaviness of the tail).
Being roughly equivalent, though, does not mean being identical.
A uniform distribution is symmetric: which means that its median and its mean are identical.
We have (1) C o v X j = C o v X j b k + C o v (m ) We estimate m by X ¯ j, which is an N by P matrix containing the mean of each factor across conditions (the mean is identical within replicates for each TF).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com