• Title/Summary/Keyword: 비주얼베이직 매크로

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A study on sampling using the function of excel (엑셀 매크로 기능을 이용한 표본추출에 관한 연구)

  • Choi, Hyun-Seok;Kim, Tae-Yoon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.481-491
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    • 2010
  • In this paper, we made a program to compare between population parameters and sample statistics, via Excel macro. This program gathers each students’ files to one file, from which a sample is drawn. This program will help students to be interested in class through extracting a part of sample from a group and comparing the difference between parameters and statistics in a few seconds. In Excel, overlapping value could happen when random numbers are generated but we avoid this case by making the sub-program, without replacement with VBA.

Application of MS Excel in Teaching Statics (엑셀 프로그램을 활용한 정역학 교육 사례)

  • Kim, Youngheub
    • 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.

Development of process-oriented education tool for Statistics with Excel Macro (엑셀 매크로를 이용한 절차 중심 통계교육도구 개발)

  • Choi, Hyun-Seok;Ha, Jeong-Cheol
    • 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.

An Example of Participatory Statistics Class Using Excel Macro (엑셀 매크로(MACRO) 기능을 이용한 통계학 참여수업의 예)

  • Lee, Joung-Yong
    • The Korean Journal of Applied Statistics
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    • v.21 no.2
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    • pp.355-359
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    • 2008
  • In order to make students more interesting in statistics class, a small visual basic program is introduced. This program, which can be executed through the Excel Macro, can immediately collect many individual questionnaire files that were filled up by participatory students and consolidate into one Excel worksheet.

Development of Bayes' rule education tool with Excel Macro (엑셀 매크로기능을 이용한 베이즈 정리 교육도구 개발)

  • Choi, Hyun-Seok;Ha, Jeong-Cheol
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.5
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    • pp.905-912
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    • 2012
  • We are dealing with the Bayes' rule education tool with Excel Macro and its usage example. When an event occurs, we are interested in whether it does under certain conditions or not. In this case, we use the Bayes' rule to calculate the probability. Bayes' rule is very useful in making decision based on newly obtained statistical information. We introduce an efficient self-teaching educational tool developed to help the learners understand the Bayes' rule through intermediate steps and descriptions. The concept and examples of intermediate steps such as conditional probability, multiplication rule, law of total probability, prior probability and posterior probability could be acquired through step-by-step learning. All the processes leading to result are given with diagrams and detailed descriptions. By just clicking the execution button, users could get the results in one screen.