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	<title>Robbins, Naomi B.</title>	<link>http://tc.eserver.org/authors/Robbins,_Naomi_B.</link>
	<description>A bibliography of works by Robbins, Naomi B. in the field of technical communication.</description>
	<language>en-us</language>
	<copyright>Copyright (c) 2005-08 by the EServer. All rights reserved.</copyright>
	<managingEditor>tclib-editorial@eserver.org (TC Library Editorial Board)</managingEditor>
	<webMaster>webmaster@eserver.org (Geoffrey Sauer)</webMaster>
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		<title>Robbins, Naomi B.</title>
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		<title>Presenting Quantitative Information Effectively</title>
		<link>http://tc.eserver.org/24239.html</link>
		<guid>http://tc.eserver.org/24239.html</guid>
		<description>Many of the graphical constructions we see in the media and learned in school have severe perceptual problems. Newer and better methods are available based on research and experimentation in human perception. However, these newer methods are often hidden in the scientific literature.  Software packages for graphical displays can add to the problem since their defaults often emphasize their technological know-how rather than the accurate display of data.  In addition, graphic designers and artists are not necessarily trained in statistics. Recognizing that these problems exist is the key to solving them.  The references provide guidance for effective data displays.</description>
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		<title>Don&apos;t Fool with Graphs</title>
		<link>http://tc.eserver.org/23694.html</link>
		<guid>http://tc.eserver.org/23694.html</guid>
		<description>Most technical writers use much more care in choosing words than in presenting numbers. The writer who presents numbers poorly loses credibility. Poorly presented numbers also cause reader misunderstanding that leads to poor decisions.</description>
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		<title>Don&apos;t Fool with Graphs, Part II</title>
		<link>http://tc.eserver.org/23679.html</link>
		<guid>http://tc.eserver.org/23679.html</guid>
		<description>Using evenly spaced tick marks to represent different time intervals is a common error which has been repeated several times in recent STC publications and presentations.</description>
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		<title>Creating More Effective Graphs: Trellis Display</title>
		<link>http://tc.eserver.org/13688.html</link>
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		<description>Trellis display is a framework for visualizing multivariate data. The outcomes collected during an early agricultural experiment on the yields of barley are displayed using Trellis, which in the case study discussed revealed an anomaly in the data which was overlooked during many conventional statistical analyses of these data.</description>
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