• Journal of Elementary Mathematics Education in Korea
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• v.23 no.1
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• pp.119-141
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• 2019

This study was carried out in order to draw some implications for teaching statistical graph in mathematics education with respect to practical statistics education for promoting students' statistical literacy. We analyze 133 graphs appearing in 99 elementary textbooks of other subjects (subjects except from mathematics) by subjects and types, and identify some cases of graphs addressed by other subjects. As a results, statistical graph was most addressed in social studies, and bar graphs, line graphs, tables, and circle graphs are most used in other subjects. Moreover, there are some issues related to contents-(1) the problem of curricular sequencing between mathematics and other subjects, (2) the level of addressing ratio graph, and (3) the use of wavy lines. In terms of forms, (1) the visual variation of graphical representations, (2) representation combining multiple graphs, and (2) graphs specialized for particular subjects are drawn as other issues. We suggest some implications to be considered when teaching the statistical graph in elementary mathematics classes.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.426-429
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• 2003

This paper proposes the threshold value selection for surface classification of 3-dimensional objects. Pre-existing method which uses the H-curvature and K-curvature has limitation in the practical threshold value selection. For this, this paper proposes the threshold value selection by the statistical method. Finally, the effectiveness of this paper demonstrated by experiment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.59
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• pp.43-51
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• 2000

Many organizations are currently adjusting the statistical forecasts with qualitative factors. However, so for a few forecasting system with adjustment process have been developed. They have difficulties in managing knowledge and estimating the quantity of adjustment. In this study, the forecasting support system adopting the frame based knowledge representation and containing the decision making scheme for adjustment is proposed to overcome these difficulties. According to the experiments, the proposed system improves the forecasting performance on gasoline case.

• Honam Mathematical Journal
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• v.28 no.3
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• pp.317-326
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• 2006

Based on the geometrical representation of a generalized intuitionistic fuzzy set, we take into account all three parameters describing generalized intuitionistic fuzzy set and propose new methods to calculate the correlation coefficient for generalized intuitionistic fuzzy sets by means of mathematical statistics.

• Proceedings of the KSR Conference
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• 1998.11a
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• pp.111-118
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• 1998

This paper describes the development of the database system for tunnel management of Korea National Railways. In order to make the system both target independent and accessible by KNR network or modem, authors developed the system as a web-based application using java language and IBM DB2 database. The system includes the searching, reporting, graphical representation and statistical functions for tunnel data, maintenance records and checking records. Later, the system will be extended to include the process for tunnel state rating and maintenace prioritiy decision-making.

• The Mathematical Education
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• v.58 no.3
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• pp.459-481
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• 2019

This study aims to investigate students' statistical thinking through statistical processes in different instructional settings: Teacher-centered instruction vs. student-centered learning. We first developed instructional materials that allowed students to experience all the processes of statistics, including data collection, data analysis, data representation, and interpretation of the results. Using the instructional materials for four classes, we collected and analyzed the data from 57 seventh graders' discourse and artifacts from two different instructional settings using the analytic framework generated on the basis of literature review. The results showed that students felt difficulty particularly in the process of data collection and graph representations. In addition, even though data description has been heavily emphasized for data analysis in statistics education, it is surprisingly discovered that students had a hard time to understand the relationship between data and representations. Also, there were relationships between students' statistical thinking and instructional settings. Even though both groups of students showed difficulty in data collection and graph representations of the data, there were significant differences between the groups in terms of their performance. Whereas students from student-centered learning class outperformed in making decisions considering verification and justification, students from teacher-centered lecture class did better in problems requiring accuracy than the counterpart. The results from the study provide meaningful implications on developing curriculum and instructional methods for statistics education.

• Journal of Elementary Mathematics Education in Korea
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• v.22 no.3
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• pp.221-240
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• 2018

In this study, we focus on the classifying and representing data in the elementary mathematics curriculum for 1st and 2nd grades which have been rarely addressed in the previous studies. We analyze the significance of classifying and representing sata in terms of statistical problem solving and variability as the core of statistical literacy. As a result, the classifying and representing data are important for students to recognize the variability which is ubiquitous in the data and to construct distribution of data, respectively. They are reflected in the 2015 revised mathematics curriculum as the statistical literacy for addressing data. We suggest some implications to teach the classifying and representing data as the practice of statistical literacy education in their statistics classes for 1st and 2nd grades.

• The Korean Journal of Applied Statistics
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• v.12 no.2
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• pp.657-670
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• 1999

공공기관에서 발간하는 공식통계자료들을 살펴보면 대부분 관찰값으로 총 빈도수나 또는 전체를 기준으로 하여 그 빈도수가 차지하는 퍼센트 그리고 지수 등으로 나타나 있다. 이러한 자료는 단순히 공무원들에게 행정용으로 활용되고는 있으나 일반인들이 자료를 이해하고 나아가 활용하기는 어렵다. 이런 자료들이 일반인을 위한 자료가 되기 위해서는 국민 한사람(또는 기본 단위)당 그 발생 확률을 구하여 제시하고 나아가 개개인의 여러 복잡한 현실 상황을 고려해도 그 확률 계산이 용이하도록 기초적인 자료를 제공하는 것이 바람직하다고 사료된다. 즉, 육하(六河)원칙을 근거로한 현상에 대하여 확률을 구하고 활용할 수 있는 방안을 제시한다. 이 논문에서는 경찰청에서 발표된 교통사고에 대한 통계자료와 대검찰청에서 발표된 범죄사건 통계자료를 통계학의 기본인 확률의 개념을 도입하여 보다 이해가 쉽고, 나아가 교통사고와 범죄 피해를 최소한으로 줄일수 있는 자료로 변환하여 설명하고자 한다.

• Communications for Statistical Applications and Methods
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• v.12 no.3
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• pp.783-795
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• 2005

We consider to obtain an estimate of bivariate survival function for the right censored data with the assumption that the two components of censoring vector are independent. The estimate is derived from an ad hoc approach based on the representation of survival function. Then the resulting estimate can be considered as an extension of the Susarla- Van Ryzin estimate to the bivariate data. Also we show the consistency and weak convergence for the proposed estimate. Finally we compare our estimate with Dabrowska's estimate with an example and discuss some properties of our estimate with brief comment on the extension to the multivariate case.

• Journal of the Korean Statistical Society
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• v.23 no.2
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• pp.325-340
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• 1994

Effects of temporal aggregation on estimation for ARMA models are studied by investigating the Hannan & Rissanen (1982)'s procedure. The temporal aggregation of autoregressive process has a representation of an autoregressive moving average. The characteristic polynomials associated with autoregressive part and moving average part tend to have roots close to zero or almost identical. This caused a numerical problem in the Hannan & Rissanen procedure for identifying and estimating the temporally aggregated autoregressive model. A Monte-Carlo simulation is conducted to show the effects of temporal aggregation in predicting one period ahead realization.