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        <description>A search of MERLOT materials</description>
        <copyright>Copyright 1997-2013 MERLOT. All rights reserved.</copyright>
        <pubDate>Tue, 18 Jun 2013 14:40:30 PDT</pubDate>
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            <title>Rice Virtual Lab in Statistics</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=79148</link>
            <description>Online  statistics open textbook and additional resources to assist students in understanding of statistics. Topics covered include Analysis of Variance, Boxplot, Confidence interval, Contrast among means, Correlated t-test, Correlation, Histogram, Independent groups t-test, Regression, Repeated measures ANOVA, and t-test. The applets in the simulations, demonstrations, an d caste studiesare in the public domain and can therefore be used without restriction. Simulations and demonstrations and source code are available for download. To view a video of the award winning author, go to View Rice Virtual Lab - Statistics Award Winner 2007 video </description>
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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>Sampling Distribution of the Mean Tutorial</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=82347</link>
            <description>This tutorial will help you determine how accurate a sample mean is likely to be, and how this accuracy is related to the sample size. Brief reviews of the normal distribution and the Central Limit Theorem are included as supplemental materials.</description>
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            <title>Stat2Labs</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=447977</link>
            <description>The site includes guided interdisciplinary labs for first and second courses in statistics.  As stated on the homepage for this site, &quot;This site presents workbook-style, project-based material that emphasizes  real world applications  and conceptual understanding. This material is designed to give students a sense of the importance and allure of statistics early in their college career. By incorporating many of the successful reforms of the introductory statistics course  into a wide range of more advanced topics we hope that students in any discipline can realize the  intellectual content and broad applicability of statistics.&#1524;</description>
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            <title>ARTIST Assessment Builder</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=85256</link>
            <description>A searchable database of more than 1000 test questions for introductory statistics concepts. The user is prompted to select subject material and learning outcome expectations from a variety of question formats and then downloads the items and can edit the test with a word processor. IMPORTANT NOTE: When you initially click on the link to get to the ARTIST website, you may be directed to a page that indicates the need to accept a certificate in order to view the ARTIST site. This is due to some recent changes related to the server where ARTIST is currently housed. If you accept this certificate, you should then be able to get to the ARTIST site. Eventually, ARTIST will be housed on the CAUSEweb site.</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>National Library of Virtual Manipulatives</title>
            <link>http://www.merlot.org/merlot/viewMaterial.htm?id=76833</link>
            <description>Large collection of platform independent, interactive, java applets and activities for K-12 mathematics and teacher education.</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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