IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v031c03.html
   My bibliography  Save this article

The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LaTeX

Author

Listed:
  • Dryver, Arthur

Abstract

E-books, articles and other documents in portable document format (PDF) files are becoming more common, and they can incorporate videos, hyperlinks, and JavaScript. This article focuses on combining random number generation and PDF files in order to enhance the effectiveness of teaching materials. For example, a traditional textbook might have a few problems per chapter, but by utilizing JavaScript and embedding it within a PDF file, it is possible to create practically an unlimited number of problems with solutions. Another possible use of random number generation for an instructor is to create assignments and exams with unique numbers. The article contains two examples for the reader with their associated JavaScript and LaTeX code. Finally, the paper covers, in general, how to use JavaScript, random number generation, and LaTeX for enhancing teaching materials in terms of instruction and assessment.

Suggested Citation

  • Dryver, Arthur, 2009. "The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LaTeX," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(c03).
    • Handle: RePEc:jss:jstsof:v:031:c03
    DOI: http://hdl.handle.net/10.18637/jss.v031.c03
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v031c03/v31c03.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v031c03/v31c03-examples.zip
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v031.c03?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arthur L. Dryver & Steven K. Thompson, 2005. "Improved unbiased estimators in adaptive cluster sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(1), pages 157-166, February.
    2. Grün, Bettina & Zeileis, Achim, 2009. "Automatic Generation of Exams in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i10).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Steven Thompson, 2013. "Adaptive web sampling in ecology," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(1), pages 33-43, March.
    2. Zeileis, Achim & Umlauf, Nikolaus & Leisch, Friedrich, 2014. "Flexible Generation of E-Learning Exams in R: Moodle Quizzes, OLAT Assessments, and Beyond," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i01).
    3. Dinges, Gerlinde & Kowarik, Alexander & Meindl, Bernhard & Templ, Matthias, 2011. "An Open Source Approach for Modern Teaching Methods: The Interactive TGUI System," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 39(i07).
    4. repec:jss:jstsof:39:i07 is not listed on IDEAS
    5. repec:jss:jstsof:31:c03 is not listed on IDEAS
    6. Raosaheb V. Latpate & Jayant K. Kshirsagar, 2020. "Two Stage Inverse Adaptive Cluster Sampling With Stopping Rule Depends upon the Size of Cluster," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(1), pages 70-83, May.
    7. Stefano Gattone & Tonio Di Battista, 2011. "Adaptive cluster sampling with a data driven stopping rule," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(1), pages 1-21, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:031:c03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.