• Title/Summary/Keyword: Statistical reasoning

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The Effect of Complex Training of Middle School Soccer Players on Body Composition, Basic Physical Strength and Movement Function

  • LEE, Dong-geun;SHO, Min-young;MOON, Hwang-woon
    • The Korean Journal of Food & Health Convergence
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    • v.7 no.4
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    • pp.31-41
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    • 2021
  • This study conducted 8 weeks of foam roller & mobility, core, and weight training for 9 middle school soccer players 5 times a week for 90 minutes to determine the effect on changes in body composition, thigh circumference, basic physical strength, and functional movement. To analyze the data according to the results of this study, SPSS 25.0 statistical program was used for analysis, and the mean (M) and standard deviation (SD) were calculated to present the descriptive statistics of all dependent variables. In addition, to analyze the difference between before and after exercise, it was verified using a paired t test. The statistical significance level (α) in all reasoning statistics was set to less than 5%. As a result, there were no significant changes in body composition and thigh circumference through 8 weeks of training. However, there were significant changes in agility and muscular endurance, and the total score for functional movement changes was significantly increased, and statistically significant changes were observed in three variables. Therefore, complex training is effective in changing the physical strength and functional movement of middle school soccer players, and further research will be required for a control group and various complex exercises.

An Epistemological Inquiry on the Development of Statistical Concepts (통계적 개념 발달에 관한 인식론적 고찰)

  • Lee, Young-Ha;Nam, Joo-Hyun
    • The Mathematical Education
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    • v.44 no.3 s.110
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    • pp.457-475
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    • 2005
  • We have inquired on what the statistical classes of the secondary schools had been aiming to, say the epistermlogical objects. And we now appreciate that the main obstacle to the systematic articulation is the lack of anticipation on what the statistical concepts are. This study focuses on the ingredients of the statistical concepts. Those are to be the ground of the systematic articulation of statistic courses, especially of the one for the school kids. Thus we required that those ingredients must satisfy the followings. i) directly related to the contents of statistics ii) psychologically developing iii) mutually exclusive each other as much as possible iv) exhaustive enough to cover all statistical concepts We examined what and how statisticians had been doing and the various previous views on these. After all we suggest the following three concepts are the core of conceptual developments of statistic, say the concept of distributions, the summarizing ability and the concept of samples. By the concepts of distributions we mean the frequency views on each random categories and that is developing from the count through the probability along ages. Summarizing ability is another important resources to embed his probe with the data set. It is not only viewed as a number but also to be anticipated as one reflecting a random phenomena. Inductive generalization is one of the most hazardous thing. Statistical induction is a scientific way of challenging this and this starts from distinguishing the chance with the inevitable consequences. One's inductive logic grows up along with one's deductive arguments, nevertheless they are different. The concept of samples reflects' one's view on the sample data and the way of compounding one's logic with the data within one's hypothesis. With these three in mind we observed Korean Statistic Curriculum from K to 12. Distributional concepts are dealt with throughout but not sequenced well. The way of summarization has been introduced in the 1 st, 5th, 7th and the 10th grade as a numerical value only. One activity on the concept of sample is given at the 6th grade. And it jumps into the statistical reasoning at the selective courses of ' Mathematics I ' or of ' Probability and Statistics ' in the grades of 11-12. We want to suggest further studies on the developing stages of these three conceptual features so as to obtain a firm basis of successive statistical articulation.

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GALAXY CLUSTERS IN GAMMA-RAYS: AN ASSESSMENT FROM OBSERVATIONS

  • REIMER OLAF
    • Journal of The Korean Astronomical Society
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    • v.37 no.5
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    • pp.307-313
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    • 2004
  • Clusters of galaxies are believed to constitute a population of astrophysical objects potentially able to emit electromagnetic radiation up to gamma-ray energies. Evidence of the existence of non-thermal radiation processes in galaxy clusters is indicated from observations of diffuse radio halos, hard X-ray and EUV excess emission. The presence of cosmic ray acceleration processes and its confinement on cosmological timescales nearly inevitably yields in predicting energetic gamma-ray emission, either directly deduceably from a cluster's multifreqency emission characteristics or indirectly during large-scale cosmological structure formation processes. This theoretical reasoning suggests several scenarios to actually detect galaxy clusters at gamma-ray wavelengths: Either resolved as individual sources of point-like or extended gamma-ray emission, by investigating spatial-statistical correlations with unidentified gamma-ray sources or, if unresolved, through their contribution to the extragalactic diffuse gamma-ray background. In the following I review the situation concerning the proposed relation between galaxy clusters and high-energy gamma-ray observations from an observational point-of-view.

On the Design of R&D Proposal Screening System (연구제안서 스크리닝 시스템의 설계에 관한 연구)

  • 최창우;김선우;김혜리;박용태
    • Proceedings of the Technology Innovation Conference
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    • 2003.06a
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    • pp.3-11
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    • 2003
  • As the size and scope of R&D investment explodes, the strategic and managerial importance of R&D proposal screening becomes highlighted. This point is particularly true for a large-scale research center that deals with multi-product and multi-technology R&D projects. Despite the importance, however, previous research has focused on project evaluation and selection stage. In this research, we propose a R&D proposal screening system. The main objective of the system is to filter R&D proposals that are identified to be duplications of past or existing projects. To this end, the algorithm of the system employs text mining, multivariate statistical method, and case-based reasoning.

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Name, Quilt and Transformation Geometry

  • Lee Brenda
    • Research in Mathematical Education
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    • v.9 no.3 s.23
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    • pp.285-294
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    • 2005
  • The author has been teaching with an instructional module consisting of many mathematical concepts, based on designs formed by personal names or words to arouse students' interesting in learning mathematics. This module has been growing since it was first used as a supplementary lesson for calculus students. Now it consists of concepts that connect with mathematical topics such as number sense, algebraic thinking, geometry, and statistical reasoning, as well as other subjects such as art and quilt design. With its content we can provide our students the basic mathematical knowledge needed for further study in their own fields. In this article, we will demonstrate the latest development of this instructional module, which makes connections between mathematical knowledge and the design of personal quilt patterns. We will exhibit a 'Quilt of Nations' which consists of the designed quilt blocks of different countries, such as USA, Japan, Taiwan, Korea and others, as well as a quilt design using the abbreviation of this seminar. Then we will talk about how the connections are built, and how to design these mathematically rich, uniquely created, beautifully designed, and personalized quilt block patterns.

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Web Usage Patterns Validation Based on Expert Belief Using Statistical Reasoning (통계적 추론을 이용한 전문가 Belief기반의 Web Usage 패턴 검증)

  • Ko, Se-Jin;Ahn, Kye-Sun;Jeong, Jun;Lee, Phill-Kyu
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.148-150
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    • 2001
  • 발견된 Web Usage 패턴들은 분석하는 전문가에게는 불필요하고 흥미롭지 못해 의사결정에 도움이 못되는 경우가 많다. 따라서 발견된 패턴에 대한 도메인 전문가의 사전 Belief에 기반한 패턴 검증 과정이 필요하다. 발견된 패턴의 유용성 여부는 패턴의 Unexpectedness를 측정함으로써 결정할 수 있다. 본 논문에서는 패턴의 Unexpectedness를 전문가의 Belief에 기반하여 검증하기 위한 새로운 방법론 제안한다. 발견된 패턴과 전문가 Belief를 매칭 알고리즘을 이용하여 패턴을 4가지(완전일치, 조건부 일치, 결과부 일치, 완전 불일치)로 분류하는 1차 검증과 1차 검증 결과의 4가지 분류데이터를 통계적 추론 방법인 Dempster-chafer에 적용한 2차 검증으로 나뉜다. 1차 검증 과정은 패턴의 분류 용이성을 부여하나 패턴의 Unexpectedness에 대한 신뢰성을 제공하지 못한다. 이 문제점을 2차 검증 과정을 통해 해결한다.

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An Empirical Study on the Influencing Factors of IPTV Service Adoption (IPTV서비스 수용의 영향요인에 관한 실증적 연구)

  • Lee, Wang Rok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.4
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    • pp.199-211
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    • 2009
  • The purpose of this study is to elicit influential factors on accepting IPTV services and define the casual relationship between the factors, and "user satisfaction", "re-use intention", "stranger recommendation intention", in an attempt to provide useful guidelines to IPTV carriers, contents providers and equipment makers for their forming IPTV service models and marketing strategies. For this end, the theoretical background of this study has been brought from relevant literature, and theoretical study models have been established by logical reasoning of the interrelation among diverse components. Then, the established models have been analyzed by using statistical packages "SPSS(12.0), LISREL(8.72)". Finally theoretical and practical significance and future study direction have been suggested. To make sure of effective validity of IPTV service adoption models above, empirical studies should be made continuously. And then vertical and horizontal studies at a specific point would show ever-changing causal relationship, helping to promote financial outcome of relevant companies and organizations.

A Study on the Validation of the "Korean Maternal Behavior Inventory" ("어머니의 양육행동 척도" 타당화를 위한 일 연구)

  • Lee, Sook
    • Journal of the Korean Home Economics Association
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    • v.29 no.1
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    • pp.189-201
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    • 1991
  • The purpose of this study was to validate the KMBI(Korean Maternal Behavior Inventory). Subjects were 1179 mothers of 4th-6th graders in the elementary schools from 5 small and medium cities and 5 urban cities in Korea. Pearson's γ, Cronbach's α, Cramer'sν, one-way ANOVA were conducted for the statistical analyses. The major findings were as follows. 1. The reliability coefficient of the scale (α) were ranged 0.62-0.79 and 0.70-0.82. 2. The discriminant coefficients(ν)of the item were ranged 0.40-0.83. 3. By the analysis of multitrait-multimethod matrix, convergent validity coefficients(γ) were ranged 0.28-0.66: and discriminant validity coefficients(γ) were ranged 0.28-0.66. 4. Significant sex differences were found in the scores of Affection, Overprotection, Achievement, and Achieve Involvement: significant SES differences were found in the scores of Reasoning Guidance, Affection, Overprotection, Achievement, & Active Involvement: and significant region differences were found in the scores of Authoritarian Control and Achievement.

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Optimal Design of Direct-Driven Wind Generator Using Genetic Algorithm Combined with Expert System (Genetic Algorithm과 Expert System의 결합 알고리즘을 이용한 직구동형 풍력발전기 최적설계)

  • Kim, Shang-Hoon;Jung, Sang-Yong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.24 no.10
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    • pp.149-156
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    • 2010
  • In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP(Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, to solve the problem of calculation iterate, ES finds the superior individual and apply to initial generation of GA and it makes reduction of search domain. Meanwhile, for effective searching in reduced search domain, it propose Intelligent GA algorithm. Also, it shows the results of optimized model 500[kW] wind generator using hybridized algorithm and benchmark result of compare with GA.

Knowledge Acquisition on Scheduling Heuristics Selection Using Dempster-Shafer Theory(DST) (Dempster-Shafer Theory를 이용한 스케듈링 휴리스틱선정 지식습득)

  • Han, Jae-Min;Hwang, In-Soo
    • Journal of Intelligence and Information Systems
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    • v.1 no.2
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    • pp.123-137
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    • 1995
  • Most of solution methods in scheduling attempt to generate good solutions by either developing algorithms or heuristic rules. However, scheduling problems in the real world require considering more factors such as multiple objectives, different combinations of heuristic rules due to problem characteristics. In this respect, the traditional mathematical a, pp.oach showed limited performance so that new a, pp.oaches need to be developed. Expert system is one of them. When an expert system is developed for scheduling one of the most difficult processes faced could be knowledge acquisition on scheduling heuristics. In this paper we propose a method for the acquisition of knowledge on the selection of scheduling heuristics using Dempster-Shafer Theory(DST). We also show the examples in the multi-objectives environment.

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