Application of Statistical Software in Quantitative Data Analysis
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Abstract
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
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References
Abatan, S. M and Olayemi, M. S (2014). The role of statistical software in Data Analysis. IJARS, Vol.3 (8).
Ben F. (2018). What is regression analysis and why should I use it? Retrieved from www.surveygizmo:com/resources/blog/regression- analysis.
Chris McGann (2014). Role of Statistical Software, EHow Contributor.
Hilary I. O., Pelumi E. O., Emmanuela C. O. and Elvir, M. A., (2021). Trends and usage pattern of SPSS and Minitab Software in Scientific Research. Journal of Physics: Conference Series 1734 (1): 012017-2021
Top 48 Free Statistical Software in 2022-PAT Research. https://www.predictiveanalyticstoday.com.
Importance of Statistical Analysis by Data Collection. http://highqualityarticles.com/. online. Accessed on April, 2018.
Kimberly, A.B and Larry, A.P (2011). Preventing human error: The impact of data entry methods on data accuracy and statistical results. Computers in Human Behavior 27(5):1834-1839, DOI: 10.1016/j.chb.2011.04.004.
Kogi State Polytechnic, Lokoja Revised Conditions and Scheme of Service for Staff of the Polytechnic September, 2017.
Minitab Software. http://en.wikipedia.org/wiki/minitab. Accessed on February, 2022.
Okaygbue, H.I., Oguntunde, P.E., Obasi, E.C. and Akhmetshin, E.M., (2021). Trends and usage pattern of SPSS and Minitab software in Scientific Research. In Journal of Physics: Conference Series (Vol. 1734 (1), P.012017). IOP Publishing.
Olayemi, M. S (2019). Statistical Concept Textbook. Agunbay Publishers. ISBN: 978-978-50454-5-3.
Olayemi, M. S and Alabi, T.J. (2018). Multiple Regression Analysis on Selected Diseases: A case study of Zonal Hospital, Kabba, Kogi State.
(Unpublished).