<p>We have</p>
<ul>
<li><p>a <a href="https://stats.stackexchange.com/questions/tagged/normal-distribution">normal-distribution</a> tag with 3158 questions, no tag wiki, and the following tag wiki excerpt:</p>
<blockquote>
<p>The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is often used as a reference against which other distributions are compared.</p>
</blockquote>
</li>
<li><p>a <a href="https://stats.stackexchange.com/questions/tagged/normality">normality</a> tag with 530 questions, no tag wiki and the following tag wiki excerpt:</p>
<blockquote>
<p>Refers to the normal distribution, the Gaussian continuous probability distribution.</p>
</blockquote>
</li>
</ul>
<p>There are <a href="https://stats.stackexchange.com/questions/tagged/normal-distribution+normality">66 questions with both tags</a>.</p>
<p>To be honest, I don't see the difference between the two tags. I would have understood something like &quot;normality-testing&quot;, but not these two.</p>
<p>Is there any difference in the concepts at all? If so, maybe someone could make this clearer in the tag wiki excerpts, and ideally also indicate in each excerpt when the other tag should be used. However, I'm afraid that the two tags are so close to each other that people will continue to confuse them. Thus, I'd propose that &quot;normality&quot; simply be made a synonym of &quot;normal-distribution&quot;.</p>
<p>Thoughts, anyone?</p>
