<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" > <channel><title>Comments on: Excellent Analytics Tip #9: Leverage Statistical Control Limits</title> <atom:link href="http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/feed" rel="self" type="application/rss+xml" /><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html</link> <description>Pluralitas non est ponenda sine neccesitate.</description> <lastBuildDate>Fri, 12 Mar 2010 13:58:43 +0000</lastBuildDate> <generator>http://wordpress.org/?v=2.9.2</generator> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <item><title>By: Getting The Most Out Of Your KPIs &#124; memesponge.com</title><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/comment-page-1#comment-491048</link> <dc:creator>Getting The Most Out Of Your KPIs &#124; memesponge.com</dc:creator> <pubDate>Mon, 01 Feb 2010 06:00:35 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html#comment-491048</guid> <description>[...] 3) Get to know your KPIs better on all levels to learn what is normal and what is not in terms of their behavior. In this respect, you view your KPIs as predictable subjects. In the same manner as criminal investigators or psychologists observe people and get to know what behavior is normal for a given individual and what is out of the line, you can practice the same with your KPIs to get the most out of your reporting. Avinash Kaushik has a great insight on how to do just that - use the statistical tools of upper and lower controls to define the normal playfield for your data. [...]</description> <content:encoded><![CDATA[<p>[...]<br /> 3) Get to know your KPIs better on all levels to learn what is normal and what is not in terms of their behavior. In this respect, you view your KPIs as predictable subjects. In the same manner as criminal investigators or psychologists observe people and get to know what behavior is normal for a given individual and what is out of the line, you can practice the same with your KPIs to get the most out of your reporting. Avinash Kaushik has a great insight on how to do just that &#8211; use the statistical tools of upper and lower controls to define the normal playfield for your data.<br /> [...]</p> ]]></content:encoded> </item> <item><title>By: Matt Smedley</title><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/comment-page-1#comment-491007</link> <dc:creator>Matt Smedley</dc:creator> <pubDate>Tue, 26 Jan 2010 03:30:38 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html#comment-491007</guid> <description>Great post Avinash! I recently took a stats class as a refresher at my local community college (unfortunately Jack Black didn&#039;t show up) and as I was reading through your post I was thinking about &quot;Quartile Ranges&quot; as Wendy Malley mentioned above: LCL: Q1 – 1.5*IQR (IQR stands for Inter Quartile Range, IQR = Q3 – Q1) UCL = Q3 + 1.5*IQRThanks Wendy for the insight on how the IQR relates to UCL &amp; LCL!Thanks Avinash for the great post!</description> <content:encoded><![CDATA[<p>Great post Avinash!<br /> I recently took a stats class as a refresher at my local community college (unfortunately Jack Black didn&#039;t show up) and as I was reading through your post I was thinking about &#034;Quartile Ranges&#034; as Wendy Malley mentioned above:</p><p>LCL: Q1 – 1.5*IQR (IQR stands for Inter Quartile Range, IQR = Q3 – Q1)<br /> UCL = Q3 + 1.5*IQR</p><p>Thanks Wendy for the insight on how the IQR relates to UCL &amp; LCL!</p><p>Thanks Avinash for the great post!</p> ]]></content:encoded> </item> <item><title>By: Tan G.</title><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/comment-page-1#comment-490498</link> <dc:creator>Tan G.</dc:creator> <pubDate>Sun, 13 Dec 2009 21:42:27 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html#comment-490498</guid> <description>This is a great post.  It really helped me in my understanding and translating the application of control limits to everyday business processes.</description> <content:encoded><![CDATA[<p>This is a great post.  It really helped me in my understanding and translating the application of control limits to everyday business processes.</p> ]]></content:encoded> </item> <item><title>By: Andrew Blank</title><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/comment-page-1#comment-483358</link> <dc:creator>Andrew Blank</dc:creator> <pubDate>Mon, 02 Mar 2009 16:10:19 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html#comment-483358</guid> <description>Avinash,Great post.  Just an update:The link to Clint&#039;s blog post is broken.  It is now at http://blog.instantcognition.com/web-analytics/2007/01/18/using-constants-in-excel-charts/Andrew</description> <content:encoded><![CDATA[<p>Avinash,</p><p>Great post.  Just an update:</p><p>The link to Clint&#039;s blog post is broken.  It is now at <a href="http://blog.instantcognition.com/web-analytics/2007/01/18/using-constants-in-excel-charts/" rel="nofollow">http://blog.instantcognition.com/web-analytics/2007/01/18/using-constants-in-excel-charts/</a></p><p>Andrew</p> ]]></content:encoded> </item> <item><title>By: Six Sigma &#38; The Online Marketing Agency &#124; Search Engine Marketing Operational Excellence &#124; Quality In Search</title><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/comment-page-1#comment-477740</link> <dc:creator>Six Sigma &#38; The Online Marketing Agency &#124; Search Engine Marketing Operational Excellence &#124; Quality In Search</dc:creator> <pubDate>Sun, 07 Dec 2008 14:54:15 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html#comment-477740</guid> <description>[...] To date I have only come across a few references of Six Sigma principles being applied to online marketing. Avinash &amp; the Eisenberg’s have both written about applying six sigma principles to web analytics and online marketing so even though the chatter for this topic is minimal it comes from a few very influential voices. [...]</description> <content:encoded><![CDATA[<p>[...] To date I have only come across a few references of Six Sigma principles being applied to online marketing. Avinash &#038; the Eisenberg’s have both written about applying six sigma principles to web analytics and online marketing so even though the chatter for this topic is minimal it comes from a few very influential voices. [...]</p> ]]></content:encoded> </item> <item><title>By: Warning bells you can&#8217;t afford to ignore - courtesy of Google Insights &#124; Tracking Tourism: The Tourism Research Blog</title><link>http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html/comment-page-1#comment-477212</link> <dc:creator>Warning bells you can&#8217;t afford to ignore - courtesy of Google Insights &#124; Tracking Tourism: The Tourism Research Blog</dc:creator> <pubDate>Wed, 03 Dec 2008 13:06:25 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/01/excellent-analytics-tip-9-leverage-statistical-control-limits.html#comment-477212</guid> <description>[...] Incidentally, even if we take the figures for Aviemore Highland Resort in isolation, using the raw data (available if you have a Google Account), we can see that the term ‘aviemore highland resort’ is now performing outside of control limits (defined as standard deviation x 3 - see more here about control limits) as shown in the graph below. [...]</description> <content:encoded><![CDATA[<p>[...] Incidentally, even if we take the figures for Aviemore Highland Resort in isolation, using the raw data (available if you have a Google Account), we can see that the term ‘aviemore highland resort’ is now performing outside of control limits (defined as standard deviation x 3 &#8211; see more here about control limits) as shown in the graph below. [...]</p> ]]></content:encoded> </item> </channel> </rss>
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