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Software Reviews : STATLIB 1 & 2 Reviewed by Donald R. Ploch, University of Tennessee Publisher: PDS Inc., PO Box 3280, Wallingford, CT 06494 (telephone: 800-426-7279) Year of Publication: 1987 Price: $194.95 (includes the Personal Scientific Calculator Machine Specificity: IBM PC, XT, AT, or compatible ' System Requirements: CGA, math coprocessor, 192K RAM, one double- sided disk drive, IBM APL Interpreter ($110.88, including tax, postage, and handling); two drives or hard drive system recommended Effectiveness: Very good to excellent User-Friendliness: Excellent if APL user; poor otherwise Documentation: Good, though demands considerable statistical knowledge

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  • Medientyp: E-Artikel
  • Titel: Software Reviews : STATLIB 1 & 2 Reviewed by Donald R. Ploch, University of Tennessee Publisher: PDS Inc., PO Box 3280, Wallingford, CT 06494 (telephone: 800-426-7279) Year of Publication: 1987 Price: $194.95 (includes the Personal Scientific Calculator Machine Specificity: IBM PC, XT, AT, or compatible ' System Requirements: CGA, math coprocessor, 192K RAM, one double- sided disk drive, IBM APL Interpreter ($110.88, including tax, postage, and handling); two drives or hard drive system recommended Effectiveness: Very good to excellent User-Friendliness: Excellent if APL user; poor otherwise Documentation: Good, though demands considerable statistical knowledge
  • Erschienen: SAGE Publications, 1988
  • Erschienen in: Social Science Computer Review
  • Sprache: Englisch
  • DOI: 10.1177/089443938800600219
  • ISSN: 0894-4393; 1552-8286
  • Schlagwörter: Law ; Library and Information Sciences ; Computer Science Applications ; General Social Sciences
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  • Beschreibung: <jats:p> sTATiIB it 2 is excellent for the analysis of small, experimental datasets by statistically inclined investigators who are familiar with ŒM'S version of APL for the Pc. The farther one is from that ideal type, the less satisfactory or more difficult to use the package will be. It contains a wide array of statistics for the analysis of univariate distributions, experimental designs, quality control, regression, and multivariate problems. Procedures are detailed and flexible. </jats:p>