Development of the Interactive Statistical Tutorial Package (ISTP) for Learning Mathematical Concepts of Probability and Statistics.

Abstract

This thesis demonstrated the feasibility of an alternative pedagogy offered by the ISTP: one that emphasizes visual presentation and mastery of statistical concepts in lieu of the traditional theorem-proof approach to learning statistics. Four statistical topics were selected for the initial implementation of the ISTP: probability distributions, maximum likelihood estimation, transformation of random variables and hypothesis testing. These areas were chosen because they are the main concern of a first course in statistics. The ISTP was designed to provide an intuitive pedagogy rather than to present statistics in a cook-book fashion. The user is encouraged to think while using the ISTP and to relate the results of the ISTP to concepts of statistics. The ISTP is hierarchically constructed so that the beginner can use this package by taking advantage of menu options. For the experienced user, it provides direct macro selection. Furthermore, the more sophisticated user can develop his own library of macros to add to those which already exist in the ISTP.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA174297

Entities

People

  • Kim H. Chul

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Graphics
  • Data Analysis
  • Data Mining
  • Data Science
  • Information Science
  • Knowledge Management
  • Maximum Likelihood Estimation
  • Network Science
  • Probability Distributions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Tests
  • Students
  • Surveys
  • Three Dimensional

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Regression Analysis.