Documentation of Eleven Programs for the Hewlett-Packard 97 Calculator.

Abstract

This report contains documentation on eleven separate programs developed for the Hewlett-Packard HP-97 programmable calculator. Nine of these programs are statistical routines that differ from most of the available programs which are designed to receive raw data values as input. Instead, the input for the routines contained in this report is summary information commonly printed out when statistical analyses are performed on large computer systems. By accepting such intermediate data as input, these routines offer several advantages to the researcher. First, it allows him to operate in an interactive mode with the data. For example, one can try several combinations of variables in a regression equation and observe how the beta weights behave as variables are added and deleted. Second, the results are immediately available and can be obtained at any time and wherever the researcher may be. Finally, there is the money saved by reducing the number of analyses run on large computer systems. The documentation of each program includes the type of analyses performed, the input required, and options available. Also, any program limits or special procedures for preparing the data are specified. A step by step set of instructions is provided together with test data and the output that results when the program is properly executed. Finally, the relevant formulas and a program listing are included with each program.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1979
Accession Number
ADA130208

Entities

People

  • William Pugh

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Automatic
  • Biomedical Research
  • Calculators
  • Coefficients
  • Composite Materials
  • Computers
  • Data Science
  • Data Sets
  • Equations
  • Experimental Design
  • Information Science
  • Instructions
  • New York
  • Regression Analysis
  • Square Roots
  • Statistical Analysis
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Computer Science.