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This article researches the reliability of statistical computer software utilized by political scientists via investigation of the accuracy of routine calculations in the statistical packages that are used to make them. It discusses floating-point arithmetic, inaccuracies caused either accidentally or by design (ie, Microsoft Excel's use of the one-pass formula), then moves on to assessment of which packages are used by political scientists, & the benchmarking of statistical software. Finally, it provides advice on choosing statistical software by selecting packages that have been well-tested for accuracy, then double-checking by standard diagnostic procedures & simple common sense to assure the truest results. 4 Tables, 27 References. M. D. Cowder

MICROFIT ist ein interaktives menügesteuertes Programm, das speziell für die ökonometrische Analyse von Zeitreihen in der Lehre und Forschung entwickelt wurde. Im vorliegenden Beitrag wird das Programm einer Beurteilung unterzogen. Fazit: Insgesamt handelt es sich bei MICROFIT um ein benutzerfreundliches, leicht zu bedienendes Programm, das dennoch über ausgefeilte statistische Verfahren verfügt. Durch die Beschränkung auf anwendungsfreundliche Menüs ist die Flexibilität natürlich eingeschränkt. Für eine ökonometrische Analyse von Zeitreihen im Rahmen dynamischer Regressionsmodelle zählt MICROFIT hinsichtlich der Schätz- und Testprozeduren trotz seiner Bedienerfreundlichkeit sicher zu den führenden Programmen. Für uni- oder multivariate ARIMA-Modellierung ist das Programm allerdings nicht konzipiert. Die Entwickler gehen davon aus, daß bestehende Modelle geschätzt und getestet werden sollen, zur Identifikation oder Modellbildung fehlen geeignete Hilfen. (psz)

The paper expounds on the application of Statistical Software (SS) in quantitative data analysis. Research questions were formulated and questionnaire were used for data collection. The collected data were analysed using percentage, mean and regression. From the analysis carried out, we discovered that women are fewer in the academic profession. We also find out that the most common statistical software is MsExcel, followed by Statistical Package for Social Sciences(SPSS) and the less popular statistical software is R. Also, the frequently used statistical software is SPSS, followed by MsExcel, while the less usage statistical software is R. In this paper work, it was shown that there is a positive impact of statistical software in obtaining a fast, accurate and efficient result in academic staff research work in Kogi State Polytechnic (KSP), Lokoja. The following statistical software - MsExcel, SPSS, Graphpad, Minitab and R, were highlighted and the regression analysis carried out for each statistical software were screenshot and presented. It was discovered that the five (5) different SS used gave the same result. The simple regression model obtained is Number of Death = 44+ 2.17Malaria. Recommendations were made accordingly.