http://practicalstats.labanca.net/index.php?action=history&feed=atom&title=Understanding_Skewness 2026-09-25T00:12:50Z Revision history for this page on the wiki MediaWiki 1.31.16 http://practicalstats.labanca.net/index.php?title=Understanding_Skewness&diff=477&oldid=prev 2022-05-11T19:39:17Z

<p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 19:39, 11 May 2022</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:<del class="diffchange diffchange-inline">Example</del>.<del class="diffchange diffchange-inline">jpg</del>]]</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:<ins class="diffchange diffchange-inline">skewnessexample</ins>.<ins class="diffchange diffchange-inline">png</ins>]]</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>&#039;&#039;&#039;A perfectly symmetrical data set&#039;&#039;&#039; will have a skewness of 0. Therefore, the normal distribution has a skewness of 0.</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>&#039;&#039;&#039;A perfectly symmetrical data set&#039;&#039;&#039; will have a skewness of 0. Therefore, the normal distribution has a skewness of 0.</div></td></tr> </table>

Mwalker http://practicalstats.labanca.net/index.php?title=Understanding_Skewness&diff=475&oldid=prev 2022-05-11T19:38:03Z

<p>Created page with &quot;<a href="/index.php?title=File:Example.jpg&amp;action=edit&amp;redlink=1" class="new" title="File:Example.jpg (page does not exist)">File:Example.jpg</a> &#039;&#039;&#039;A perfectly symmetrical data set&#039;&#039;&#039; will have a skewness of 0. Therefore, the normal distribution has a skewness of 0. -0.5 &lt; skewness &lt; 0.5, the dat...&quot;</p> <p><b>New page</b></p><div>[[File:Example.jpg]]<br /> <br /> &#039;&#039;&#039;A perfectly symmetrical data set&#039;&#039;&#039; will have a skewness of 0. Therefore, the normal distribution has a skewness of 0.<br /> <br /> -0.5 &lt; skewness &lt; 0.5, the data are fairly symmetrical.<br /> <br /> -1 &lt; skewness &lt; — 0.5 or 0.5 &lt; skewness &lt; 1, the data are moderately skewed<br /> <br /> - 1 &lt; skewness or skewness &lt; -1, the data are highly skewed<br /> <br /> &#039;&#039;&#039;Kurtosis&#039;&#039;&#039; describes how peaked the curve is. First, it sees whether the data are heavy-tailed (fat) or light-tailed relative to a normal distribution(the tallness of the central peak). It also measures the amount of probability in the tails (the sharpness of the central peak) (Sapountzi, 2018).<br /> <br /> Reference:<br /> Sapountzi, A. (2018). Descriptive Statistics/Tell me the Summary of What Happened. <br /> <br /> &#039;&#039;contributed by Marigrace Walker&#039;&#039;</div>

Mwalker