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<h1>Two-sample t test power calculation</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Power of test</li>
<li>alternative: two.sided</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>n </td><td>30.00000</td></tr>
<tr><td>d </td><td> 0.30000</td></tr>
<tr><td>sig.level</td><td> 0.05000</td></tr>
<tr><td>power </td><td> 0.20785</td></tr>
</table>
<p class='character'><strong>Note:</strong> n is number in *each* group</p>
<p class='character'>Interpretation of effect size <strong>d</strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.2</td><td>0.5</td><td>0.8</td></tr>
</table>
<h1>t test power calculation</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Power of test</li>
<li>alternative: two.sided</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>n1 </td><td>27.00000</td></tr>
<tr><td>n2 </td><td>33.00000</td></tr>
<tr><td>d </td><td> 0.30000</td></tr>
<tr><td>sig.level</td><td> 0.05000</td></tr>
<tr><td>power </td><td> 0.20624</td></tr>
</table>
<p class='character'>Interpretation of effect size <strong>d</strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.2</td><td>0.5</td><td>0.8</td></tr>
</table>
<h1>approximate correlation power calculation (arctangh transformation)</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Sample size</li>
<li>alternative: two.sided</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>n </td><td>86.207</td></tr>
<tr><td>r </td><td> 0.300</td></tr>
<tr><td>sig.level</td><td> 0.050</td></tr>
<tr><td>power </td><td> 0.810</td></tr>
</table>
<p class='character'>Interpretation of effect size <strong>r</strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.1</td><td>0.3</td><td>0.5</td></tr>
</table>
<h1>Chi squared power calculation</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Significance level</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>w </td><td> 0.30000</td></tr>
<tr><td>N </td><td>30.00000</td></tr>
<tr><td>df </td><td>32.00000</td></tr>
<tr><td>sig.level</td><td> 0.71662</td></tr>
<tr><td>power </td><td> 0.81000</td></tr>
</table>
<p class='character'><strong>Note:</strong> N is the number of observations</p>
<p class='character'>Interpretation of effect size <strong>w</strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.1</td><td>0.3</td><td>0.5</td></tr>
</table>
<h1>Difference of proportion power calculation for binomial distribution (arcsine transformation)</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Significance level</li>
<li>alternative: greater</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>h </td><td> 0.30000</td></tr>
<tr><td>n </td><td>30.00000</td></tr>
<tr><td>sig.level</td><td> 0.38821</td></tr>
<tr><td>power </td><td> 0.81000</td></tr>
</table>
<p class='character'><strong>Note:</strong> same sample sizes</p>
<p class='character'>Interpretation of effect size <strong>h</strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.2</td><td>0.5</td><td>0.8</td></tr>
</table>
<h1>Mean power calculation for normal distribution with known variance</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Significance level</li>
<li>alternative: two.sided</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>d </td><td> 0.30000</td></tr>
<tr><td>n </td><td>30.00000</td></tr>
<tr><td>sig.level</td><td> 0.40906</td></tr>
<tr><td>power </td><td> 0.80000</td></tr>
</table>
<p class='character'>Interpretation of effect size <strong>d</strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.2</td><td>0.5</td><td>0.8</td></tr>
</table>
<h1>Multiple regression power calculation</h1>
<h2>Parameters</h2>
<ul><li>Parameter to determine: Parameter count</li>
</ul>
DATE<br />
<table border="1">
<tr><td></td><td>Parameters</td></tr>
<tr><td>u </td><td> 3.4454</td></tr>
<tr><td>v </td><td>30.0000</td></tr>
<tr><td>f2 </td><td> 0.3000</td></tr>
<tr><td>sig.level</td><td> 0.1000</td></tr>
<tr><td>power </td><td> 0.8000</td></tr>
</table>
<p class='character'>Interpretation of effect size <strong>f<sup>2</sup></strong> (according to Cohen):</p>
<table border="1">
<tr><td>small</td><td>medium</td><td>large</td></tr>
<tr><td>0.02</td><td>0.15</td><td>0.35</td></tr>
</table>
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