Open Journal of Statistics, 2021, 11, 737-758 https://www.scirp.org/journal/ojs ISSN Online: 2161-7198 ISSN Print: 2161-718X DOI: 10.4236/ojs.2021.115044 Oct. 12, 2021 737 Open Journal of Statistics Validating Intrinsic Factors Informing E-Commerce: Categorical Data Analysis Demo Anthony Joe Turkson * , John Awuah Addor, Douglas Yenwon Kharib Mathematics, Statistics and Actuarial Science Department, Takoradi Technical University, Sekondi-Takoradi, Ghana Abstract Statistics is a powerful tool for data measurement. Statistical techniques properly planned and executed give meaning to meaningless data. The diffi- culty some practitioners encounter hinges on the fact that though there are numerous statistical methods available for use in analysis, the extent of their understanding and ease of using these tools for analysis is limited. This study has twofold purpose: firstly, literature on categorical data commonly used in research was reviewed; next, we reported the results of a survey we designed and executed. Categorical data was collected via questionnaire and analyzed to serve as a backbone of the robustness of categorical data. Several conjec- tures about the independence of the socio-economic variables and e-commence were tested. Some of the factors influencing patronage of e-commerce were identified. It is clear from the literature that as one’s academic qualifica- tion improves, there is an associated improvement in their preference for e-commerce, but the results revealed otherwise. Size of family was found to influence e-commerce. Both income and social status positively affected pa- tronage in e-commerce. Gender also appeared to affect patronage in e-commerce. 62.3% of staff had patronized e-commerce. This shows that e-commerce pa- tronage was gradually increasing. It is therefore our considered view that pol- icy documents regulating and monitoring the use of e-commerce be devel- oped to increase e-commerce participation across the globe. It is also recom- mended that the bottlenecks which obstruct patronage in e-commence be addressed so that a lot more staff will develop a positive attitude towards e-commerce. Keywords Categorical Data, Chi-Square, E-Commerce, Ordinal Data, Nominal Data 1. Introduction Statistics has been and is still a very powerful tool for data measurement. If How to cite this paper: Turkson, A.J., Ad- dor, J.A. and Kharib, D.Y. (2021) Validating Intrinsic Factors Informing E-Commerce: Ca- tegorical Data Analysis Demo. Open Jour- nal of Statistics, 11, 737-758. https://doi.org/10.4236/ojs.2021.115044 Received: July 29, 2021 Accepted: October 9, 2021 Published: October 12, 2021 Copyright © 2021 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access