skip to main content
article
Free Access

Teaching a computer-based college level statistics course in a secondary school

Authors Info & Claims
Published:01 February 1976Publication History
Skip Abstract Section

Abstract

This paper discusses experiences in utilizing an HP-2000 system as the framework for teaching computer programming and statistics. The statistical approach relies upon the binary model; this model is developed by each student using the random function generator. Although empirically heuristic, such an approach provides a useful intellectual base for developing all other statistical notions more formally. Student experiences in researching the role of computer science and/or statistics in their career choices led three students to select Computer Science as a major at California State University, Northridge.

Index Terms

  1. Teaching a computer-based college level statistics course in a secondary school

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM SIGCSE Bulletin
        ACM SIGCSE Bulletin  Volume 8, Issue 1
        Proceedings of the SIGCSE-SIGCUE joint symposium on Computer science education
        February 1976
        399 pages
        ISSN:0097-8418
        DOI:10.1145/952989
        Issue’s Table of Contents
        • cover image ACM Conferences
          SIGCSE '76: Proceedings of the ACM SIGCSE-SIGCUE technical symposium on Computer science and education
          February 1976
          403 pages
          ISBN:9781450374125
          DOI:10.1145/800107

        Copyright © 1976 ACM

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 February 1976

        Check for updates

        Qualifiers

        • article
      • Article Metrics

        • Downloads (Last 12 months)23
        • Downloads (Last 6 weeks)5

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader
      About Cookies On This Site

      We use cookies to ensure that we give you the best experience on our website.

      Learn more

      Got it!