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<p>of observations from each other (this assumption is an especially common error).<br/>
*Independence of observational error from potential <a href="page.php?w=confounding">confounding</a> effects.<br/>
*Exact or approximate <a href="page.php?w=Normal_distribution">normality</a> of observations (or errors).<br/>
*Linearity of graded responses to quantitative stimuli, e.g., in <a href="page.php?w=linear_regression">linear regression</a>.</p>

<p><big>Classes of assumptions</big></p>
<p>There are two approaches to <a href="page.php?w=statistical_inference">statistical inference</a>:</p><p>
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