• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.811-820
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• 2006

We introduce a program that enhances the interest and understanding of students in Statistics. This program explains various statistical concepts and procedures by showing detailed steps of calculations with graphs and simulations. This program utilizes a readily accessible Excel VBA.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.155-161
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• 2006

To enhance the interest and comprehension of learners studying Statistics. The program which learners can use is needed. With the help of this program, the interest and concentration of the learners can be enhanced, and the effects of the study of Statistics can be maximized, through the convenience of calculation to the theoretical contents of Statistics, various graphs, the, simulation.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1183-1197
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• 2011

The prior distribution is the probability distribution we have before observing data. Using Bayes' rule, we can compute the posterior distribution, the new probability distribution, after observing data. Computing the posterior distribution is much easier than before by using Excel VBA macro. In addition, we can conveniently compute the successive updating posterior distributions after observing the independent and sequential outcomes. In this paper we compose some Excel VBA macros for applying Bayes' rule and give some examples.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.185-193
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• 2005

This study develops and introduces the program for letting learners study statistics in a systematic and efficient way by using Excel tools such as VBA and Macro, when they study statistical inference at two populations. This study helps learners understand the steps on statistical inference at two populations by utilizing the systematic and visual techniques.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.243-248
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• 2002

최근 다변량자료분석과 관련하여 이를 시스템으로 구현하려는 연구가 다양한 각도로 이루어지고 있다. 이러한 연구들의 공통적인 특징은 일반 사용자들에게 고급 통계분석기법을 편리하게 활용할 수 있도록 GUI(Graphical User Interface) 환경의 시스템을 제공해 준 것이다. 이런 연구의 연장선상에서 본 연구에서는 다변량자료분석 시스템을 구현하는데 있어 사회 각 분야에서 가장 널리 활용되고 있는 사무용 프로그램인 마이크로소프트(Microsoft) Excel을 활용하여 일반 사용자들도 다변량분석을 쉽게 활용할 수 있도록 대화식 시스템을 개발하였다.

• The Korean Journal of Applied Statistics
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• v.17 no.1
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• pp.165-172
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• 2004

Recently, there have been several studies to develop the multivariate data analysis system which can be readily used. The common characteristic of these studies is to develop the GUI system to which advanced statistical methods can be conveniently applied. In an extension of these studies, this study aims to supply users in various fields an interactive system with the convenience of the environment of GUI, which is constructed with the Excel macro and VBA, to apply multivariate data analysis methods easily. This system provides a graphic-oriented and menu-centered user interface in the Microsoft Excel which is widely used spreadsheet and analysis program.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.149-156
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• 2022

Recently, there have been many reports of document-type malicious code injecting malicious code into Microsoft Office files. Document-type malicious code is often hidden by encoding the malicious code in the document. Therefore, document-type malware can easily bypass anti-virus programs. We found that malicious code was inserted into the Visual Basic for Applications (VBA) macro, a function supported by Microsoft Office. Malicious codes such as shellcodes that run external programs and URL-related codes that download files from external URLs were identified. We selected 354 keywords repeatedly appearing in malicious Microsoft Office files and defined the number of times each keyword appears in the body of the document as a feature. We performed machine learning with SVM, naïve Bayes, logistic regression, and random forest algorithms. As a result, each algorithm showed accuracies of 0.994, 0.659, 0.995, and 0.998, respectively.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.643-650
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• 2011

Recently the needs for education on Statistics is growing bigger, but a mathematics-oriented education makes college students loose interest in Statistics. On the hypothesis that motivating interest is the key factor for learning, we need to develop an education tool for Statistics that makes learners to study independently but throughly. By using Excel Macro, we develop and introduce add-in program, called PETS, which supplies not only results but also process to get them.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.403-410
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• 2014

Binary logistic regression analysis is a statistical technique that explains binary response variable by quantitative or qualitative explanatory variables. In the binary logistic regression model, the probability that the response variable equals, say 1, one of the binary values is to be explained as a transformation of linear combination of explanatory variables. This is one of big barriers that non-statisticians have to overcome in order to understand the model. In this study, an educational tool is developed that explains the need of the binary logistic regression analysis using Excel VBA. More precisely, this tool explains the problems related to modeling the probability of the response variable equal to 1 as a linear combination of explanatory variables and then shows how these problems can be solved through some transformations of the linear combination.

• Transactions of the KSME C: Technology and Education
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• v.2 no.1
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• pp.21-28
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• 2014

As one of the most famous spreadsheet programs that is widely applied to a variety of fields in business, MS Excel has also been used for educational purposes due to its feature of wide accessibility, enabling students to use the program through almost any kind of PC that now exists. The program is mainly used for numerical analysis and formulae applications in the fields of science and engineering. This paper shall provide the key to understanding the application of MS Excel to teaching Statics through the illustration of its essential functions for education. Also, the development process of the analysis program using macros and VBA(Visual Basic for Applications) is described for the deeper comprehension of advanced applications. Students were not only able to solve the Statics problems using basic features of MS Excel, but also discovered new systematic methods of approaching complex problems and developed application programs using macros and VBA.