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Copy file name to clipboardExpand all lines: P/ug-ttest2.md
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Again employing the linear combination theorem and applying the null hypothesis from \eqref{eq:ttest2-h0}, the distribution of $Z = ( ( \bar{y}_1 - \bar{y}_2 ) - \mu_{\Delta}) / (\sigma \sqrt{1/n_1+1/n_2} )$ becomes [standard normal](/D/snorm)
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Again employing the linear combination theorem and applying the null hypothesis from \eqref{eq:ttest2-h0}, the distribution of $Z = ((\bar{y}\_1-\bar{y}\_2) - \mu\_{\Delta}) / (\sigma \sqrt{1/n\_1+1/n\_2})$ becomes [standard normal](/D/snorm)
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