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Sonbull [250]
1 year ago
9

when calculating cohen’s d (a standardized effect size) for an independent samples t-test, the result will tell you how many the

averages are away from one another.
Mathematics
1 answer:
777dan777 [17]1 year ago
3 0

by cohen's  d three averages are away from one another.

effect size allows us to measure the magnitude of mean differences. This is usually calculated after rejecting the null hypothesis in a statistical test. If the null hypothesis is not rejected, effect size has little meaning.

cohen's  d=\frac{X_{1} -X_{2} }{\sqrt{S^{2}_{P}  } }

With cohen's d, remember that:

d = 0.2, small effect

d = 0.5, medium effect

d = 0.8, large effect

therefore, by cohen's  d three averages are away from one another.

learn more about cohen's  d here:

brainly.com/question/3393337

$SPJ9

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D=\sqrt{(2\sqrt{3}-(-\sqrt{12}))^2+(-\sqrt{32}-(-4\sqrt{2}))}\\\\=\sqrt{(2\sqrt{3}+\sqrt{2\times2\times3})^2+(-\sqrt{4\times4\times2}+4\sqrt{2})^2}\\\\=\sqrt{(2\sqrt{3}-\sqrt{2^2\times3})^2+(-\sqrt{4^2\times2}+4\sqrt{2})^2}\\\\=\sqrt{(2\sqrt{3}+2\sqrt{3})^2+(-4\sqrt{2}+4\sqrt{2})^2}\\\\=\sqrt{(4\sqrt{3})^2+0}\\\\=4\sqrt{3}\text{ units}

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