<?xml version="1.0" encoding="UTF-8" standalone="no"?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0"><channel><title>CHEM 789</title><description>Experimental Design and Statistics in Chemistry at Drexel University.  Spring 2005.  Instructor: Kevin Owens</description><managingEditor>noreply@blogger.com (Kevin Owens)</managingEditor><pubDate>Tue, 12 Mar 2024 22:47:10 -0500</pubDate><generator>Blogger http://www.blogger.com</generator><openSearch:totalResults xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">12</openSearch:totalResults><openSearch:startIndex xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">1</openSearch:startIndex><openSearch:itemsPerPage xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">25</openSearch:itemsPerPage><link>http://chem789.blogspot.com/</link><language>en-us</language><item><title>MALDI 2^4+1 Factorial Example</title><link>http://chem789.blogspot.com/2005/05/maldi-241-factorial-example.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Tue, 10 May 2005 09:40:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111573278398732285</guid><description>We use data from a currently on-going factorial design experiment involving the matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry (TOFMS) analysis of synthetic polymer mixtures. While many variables are in a MALDI experiment are critical, only the quantity of the four different analyte polymers in a quaternary mixture are used in a 2^4+1 factorial design- other variables, including the quantity of matrix (as matrix-to-analyte ratio), quantity of cationization reagent (NaTFA), laser power, instrument settings, etc. are all held constant.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789MALDIFactorial5-9-05.mp3"&gt;MALDI Factorial Example podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Fractional Factorials and Confounding</title><link>http://chem789.blogspot.com/2005/05/fractional-factorials-and-confounding.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Wed, 4 May 2005 08:37:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111573243888388558</guid><description>We explore the reasons for use of a fractional factorial, then see how to set up a 1/2 fraction 2^3 factorial using the Excel spreadsheets we've already used. The idea of "confounding of variables" is also covered- with an explanation of how to ideally set up the fractional factorial to minimize confounding of the main effects.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789fractionalFactorial5-2-05.mp3"&gt;Fractional Factorial podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>2-way ANOVA example</title><link>http://chem789.blogspot.com/2005/04/2-way-anova-example.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Tue, 26 Apr 2005 08:15:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111452150366741677</guid><description>We use data from the analysis of CaO to investigate the advantages and disadvatages of a paired t-test, regression analysis and a straight one-way ANOVA. We also cover the basics of the two-way (two factor) analysis of variance (ANOVA) by doing an example (7-11) from Box, Hunter and Hunter. &lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_2wayANOVA_4-25-05.mp3"&gt;ANOVA mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>ANOVA basics</title><link>http://chem789.blogspot.com/2005/04/anova-basics.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Thu, 21 Apr 2005 08:51:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111409166884349911</guid><description>We cover the basics of the one-way (single factor) analysis of variance (ANOVA) by doing an example by hand. As an example we explore the use of both confidence intervals and ANOVA to investigate the effect of two different sample treatments using Fe absorption data.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789ANOVA1_4-20-05.mp3"&gt;ANOVA mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Weighted LS and One-Way ANOVA</title><link>http://chem789.blogspot.com/2005/04/weighted-ls-and-one-way-anova.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Tue, 19 Apr 2005 08:19:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111391687490738243</guid><description>We finish our discussion of calibration curves by covering the concept of weighted least squares. We then start the subject of one-way analysis of variance (ANOVA) by re-looking at our copper atomic absorption data.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_S05WeightedLSANOVA_4-18-05.mp3"&gt;Weighted LS ANOVA mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Calibration 3 Lecture</title><link>http://chem789.blogspot.com/2005/04/calibration-3-lecture.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Sat, 16 Apr 2005 11:57:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111367078485876370</guid><description>We continue our discussion of calibration curves, starting with one more example on MS Excel (a set of Cu atomic absorption data which shows significant 2nd order curvature). We continue with our discussion of how to use the curve to predict the concentrations of unknowns (including their confidence intervals), and discuss the issues of sensitivity and detection limits.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_S05Calibration3_4-13-05.mp3"&gt;Calibration 3 mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">1</thr:total></item><item><title>Calibration 2 lecture</title><link>http://chem789.blogspot.com/2005/04/calibration-2-lecture.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Sat, 16 Apr 2005 11:52:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111367063782074826</guid><description>We continue our discussion of calibration curves- exploring how the &lt;b&gt;Data Analysis&lt;/b&gt; toolbox in Microsoft Excel can be used to calculate the equation of the least squares line AND the analysis of variance (ANOVA) table for the regression line. We'll see how we can trick Excel into breaking up the SSresiduals in the ANOVA table created by the &lt;b&gt;Regression&lt;/b&gt; tool into the SSLOF and SSerror using the &lt;b&gt;One-Way ANOVA&lt;/b&gt; tool. Several data sets are used as examples (a set of Cd atomic absorption data and data from an HPLC analysis of naphthionic acid).&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_S05ExcelExample_4-11-05.mp3"&gt;Calibration 2 mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Calibration 1 lecture</title><link>http://chem789.blogspot.com/2005/04/calibration-1-lecture.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Sat, 9 Apr 2005 14:49:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111307623206894551</guid><description>This lecture starts our discussion of calibration curves- and in particular the method of least squares.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_S05Calibration_4-6-05.mp3"&gt;Calibration 1 mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Basic Statistics 2 lecture</title><link>http://chem789.blogspot.com/2005/04/basic-statistics-2-lecture.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Sat, 9 Apr 2005 14:47:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111307614968191974</guid><description>This lecture continued our discussion of basic statistics, including the use of propagation of error, and basic statistical tests such as t-tests and F-tests.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_S05BasicStats2_4-4-05.mp3"&gt;Basic Stats 2 mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Basic Statistics 1 Lecture</title><link>http://chem789.blogspot.com/2005/04/basic-statistics-1-lecture.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Fri, 1 Apr 2005 14:01:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111238221590154771</guid><description>This lecture (3/30/05) covered basic statistics- including definitions of central tendency and dispersion, the Normal distribution and confidence intervals.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.chemistry.drexel.edu/podcasts/owens/CHEM789_s05BasicStats1_3-30-05.mp3"&gt;Basic Stats 1 mp3 podcast&lt;/a&gt; Right-click and select "save target as" if downloading manually.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>How to use podcasting in this class</title><link>http://chem789.blogspot.com/2005/04/how-to-use-podcasting-in-this-class.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Fri, 1 Apr 2005 13:07:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111238248452426872</guid><description>You can now receive the lecture audio mp3's for this class &lt;strong&gt;automatically&lt;/strong&gt; through the RSS feed for the class.&lt;br /&gt;&lt;br /&gt;You must first download an aggregator that handles files like &lt;a href="http://ipodder.sourceforge.net/index.php"&gt;ipodder&lt;/a&gt;.&lt;br /&gt;&lt;br /&gt;First click on the XML button on the top of the class page.&lt;br /&gt;Then copy the url that shows up in the address bar and paste it in under the subscriptions tab in ipodder.&lt;br /&gt;&lt;br /&gt;Ipodder will automatically download mp3's as they become available. On your PC these files will show up in a folder called "My Received Podcasts" under "My Documents". I believe that if you have an ipod it will copy the files directly onto the device.&lt;br /&gt;&lt;br /&gt;The nice thing is that the downloads happen in the background, as long as you are connected to the internet. Let me know how it works out.</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Welcome to CHEM789</title><link>http://chem789.blogspot.com/2005/03/welcome-to-chem789.html</link><author>noreply@blogger.com (Kevin Owens)</author><pubDate>Wed, 30 Mar 2005 12:02:00 -0500</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-11856783.post-111367104020007314</guid><description>Welcome to CHEM789 Experimental Design &amp; Statistics in Chemistry, a graduate analytical elective course in the Chemistry Department at Drexel University, Philadelphia, PA! This course is running during the spring quarter 2004/2005 (March 28-June 8 2005).</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item></channel></rss>