A Robust Function to Return the Cumulative Density of Non-Central F Distributions in Microsoft Office Excel

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Titel: A Robust Function to Return the Cumulative Density of Non-Central F Distributions in Microsoft Office Excel
Sprache: English
Autoren: Nelson, James Byron
Quelle: Psicologica: International Journal of Methodology and Experimental Psychology. 2016 37(1):61-83.
Verfügbarkeit: University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site: http://www.uv.es/revispsi/
Peer Reviewed: Y
Page Count: 23
Publikationsdatum: 2016
Publikationsart: Journal Articles
Reports - Descriptive
Descriptors: Spreadsheets, Technology Uses in Education, Computation, Effect Size, Intervals, Evaluation, Probability
ISSN: 0211-2159
Abstract: The manuscript presents a Visual Basic[superscript R] for Applications function that operates within Microsoft Office Excel[superscript R] to return the area below the curve for a given F within a specified non-central F distribution. The function will be of use to Excel users without programming experience wherever a non-central F distribution is required, such as conducting power analyses for analysis of variance designs and constructing confidence intervals on effect sizes. Tests show the function to produce results comparable to those obtained with the commercial software SPSS and the popular free R environment for statistical computing. Spreadsheets for use in Excel and OpenOffice Calc® are included with example usages.
Abstractor: As Provided
Number of References: 15
Entry Date: 2016
Dokumentencode: EJ1090072
Datenbank: ERIC
Beschreibung
Abstract:The manuscript presents a Visual Basic[superscript R] for Applications function that operates within Microsoft Office Excel[superscript R] to return the area below the curve for a given F within a specified non-central F distribution. The function will be of use to Excel users without programming experience wherever a non-central F distribution is required, such as conducting power analyses for analysis of variance designs and constructing confidence intervals on effect sizes. Tests show the function to produce results comparable to those obtained with the commercial software SPSS and the popular free R environment for statistical computing. Spreadsheets for use in Excel and OpenOffice Calc® are included with example usages.
ISSN:0211-2159