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        <title>MERLOT Search - category=2595&amp;materialType=Simulation&amp;sort.property=overallRating</title>
        <link>http://www.merlot.org:80/merlot/</link>
        <description>A search of MERLOT materials</description>
        <copyright>Copyright 1997-2013 MERLOT. All rights reserved.</copyright>
        <pubDate>Sun, 19 May 2013 23:54:27 PDT</pubDate>
        <lastBuildDate>Sun, 19 May 2013 23:54:27 PDT</lastBuildDate>
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            <title>MERLOT Search - category=2595&amp;materialType=Simulation&amp;sort.property=overallRating</title>
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            <title>StatCrunch</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=74665</link>
            <description>The package was created to solve many of the problems which exist with the delivery and use of modern statistical software. Many times statisticians develop procedures in languages such as Splus, SAS, Minitab, etc.., which are very specific to statisticians. Students and other potential users may not have access to these languages, and therefore may not be able to use the procedures. By using Java and the World Wide Web, StatCrunch should reach the broadest possible audience of any statistical software of its kind. StatCrunch was chosen as the 2005 Classics Award winner for the Statistics discipline for several reasons. StatCrunch allows any student with internet access the ability to have a reasonably full featured statistical analysis program&amp;nbsp;for minimal&amp;nbsp;cost. This means that students who are taking courses through distance education can now have the same software as students on campus. Students who are working on a statistics assignment at home can now have the same software as they would in a lab on campus. We also believe that StatCrunch represents the beginning of a paradigm shift. As time moves forward we believe that most introductory statistics courses will be taught not with installed software but with internet based software. It is proof that the major obstacles that stand in the way of integrating statistical software into the introductory classroom can be surmounted.</description>
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            <title>Rossman/Chance Applet Collection (Statistics/Probability)</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=89688</link>
            <description>A collection of applets designed to illustrate various topics in statistics and probability.  Topics include Simulating Confidence Intervals for Population Parameter,      Behavior of Regression Line,      Reeses Pieces,      Histogram Bin Width,      Sampling Senators,      Sampling Pennies,      Dotplot Summaries,      Guess the Correlation.</description>
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            <title>Visual Analysis of Variance (ANOVA)</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=89485</link>
            <description>Visual ANOVA is an interactive Flash program which demonstrates visually how variability between and within experimental groups contributes to the F ratio in the Analysis of Variance. It is not a numerical calculator; rather it visually and holistically demonstrates the relations among important concepts. Visual ANOVA is supported by online instructions and by an extensive online lecture explaining the theory behind the Analysis of Variance. The online lecture is supported by two types of assignments: 1) Online computer-graded homework, and 2) A pdf file that gives students the opportunity to do handwritten homework problems with answer keys.</description>
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            <title>Calibrated Peer Review</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=91408</link>
            <description>Calibrated Peer Review (CPR) is a program, for networked computers, that enables frequent writing assignments without any increase in instructor work. In fact, CPR can reduce the time an instructor now spends reading and assessing student writing. CPR offers instructors the choice of creating their own writing assignments or using the rapidly expanding assignment library.  If you believe in constructivist learning, writing is the most important tool that you have.  But if you have a class of 300 students, grading essays challenges even the true believer. Calibrated Peer Review  (CPR)can be used in classes of any size. CPR is based on the model of peer review in science. The student reads a document, either on-line or hard copy, then writes about it. When the student has demonstrated competence as a reviewer, the program delivers three peer documents on for review.  The student answers content and style questions and assigns scores.  Finally, the student does a self-review.  The student grade comes from writing and reviewing.  Even though the program is only in its third year, approximately 100,000 students have used it. Although CPR was designed for use in large chemistry classes, experience has shown that it can serve in many other disciplines, as well.  Currently, business, chemistry, economics, English, and life science instructors are using CPR in college, graduate and professional, high schools and middle schools. CPR was developed in the Chemistry Department at U.C.L.A. with funding provided by the National Science Foundation and Howard Hughes Medical Institute.</description>
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            <title>Simulating Confidence Intervals</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=221221</link>
            <description>This applet allows users to generate confidence intervals for either means or proportions.&amp;nbsp; Users set the parameters including the number of samples and click &amp;quot;Sample.&amp;quot;&amp;nbsp; The applet graphs the intervals such that intervals containing the true mean or proportion are in green, while intervals not containing the true mean or proportion are in red.&amp;nbsp; The true mean or proportion is shown by a blue line.</description>
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            <title>Interactive Mathematics--Probability</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=79173</link>
            <description>This site contains an extensive collection of java applets involving probability miscellany and puzzles. Written by Alexander Bogomolny, these applets are designed to engage the reader in interactive investigations. Background material is provided and the site serves as an excellent educational resource.</description>
        </item>
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            <title>Normal Distribution Calculator</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=79523</link>
            <description>Given a mean and standard deviation, this applet illustrates the normal distribution and the probability between two given values.</description>
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            <title>The Binomial, Normal, and Poisson Distributions Compared</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=78577</link>
            <description>This applet graphs the Poisson and normal approximations to a specified binomial distribution.  The user may select the values of n and p to be used.</description>
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            <title>Utah Virtual Lab for teaching Science, Methods, and Statistics</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=89373</link>
            <description>The Utah online Virtual Lab is a JAVA program run dynamically off a database. Instructors author a statistical virtual reality simulating theories and data in a specific research focus area by defining independent, predictor, and dependent variables and the relations among them. Students work in an online virtual environment to discover the principles of this simulated reality: they go to a library, read theoretical overviews and scientific puzzles, and then go to a lab, design a study, collect and analyze data, and write a report. A student&apos;s design and data analysis decisions are computer-graded and recorded in a database; the written research report can be read by the instructor or by other students in peer groups simulating scientific conventions.</description>
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            <title>Guessing Correlations</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=74393</link>
            <description>Demonstrates Correlation Coefficients in Statistics.</description>
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