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	<title>Comments on: Restoring Confidence in Usability Results</title>
	<link>http://www.webword.com/wp/2004/06/28/restoring-confidence-in-usability-results/</link>
	<description>The usability blog of John S. Rhodes</description>
	<pubDate>Fri, 22 Aug 2008 02:35:19 +0000</pubDate>
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		<title>by: John</title>
		<link>http://www.webword.com/wp/2004/06/28/restoring-confidence-in-usability-results/#comment-5580</link>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid>http://www.webword.com/wp/2004/06/28/restoring-confidence-in-usability-results/#comment-5580</guid>
					<description>&lt;i&gt;&quot;Here's what you should take away from this article. First, binomial confidence intervals are a resource saving tool during formative evaluations. When refining a new feature that needs a high completion rate, say 90% for first time users, you’ll know when to reject a design earlier. If only two out of five users complete the task, there’s less than a 5% chance that the completion rate will ever be above 85%.&quot;&lt;/i&gt;&lt;br /&gt;
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		<content:encoded><![CDATA[<p><i>&#8220;Here&#8217;s what you should take away from this article. First, binomial confidence intervals are a resource saving tool during formative evaluations. When refining a new feature that needs a high completion rate, say 90% for first time users, you’ll know when to reject a design earlier. If only two out of five users complete the task, there’s less than a 5% chance that the completion rate will ever be above 85%.&#8221;</i>
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