• Journal of Fisheries and Marine Sciences Education
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• v.22 no.4
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• pp.553-565
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• 2010

The paper aims to evaluate the quality of fisheries census statistic and to provide some desirable directions and improvements for the future fisheries census, conducted by the Government. For the quality diagnosis of fisheries census statistic, specific processes of fisheries census and statistical qualities of each dimension are surveyed and evaluated by a Government's practician, two external examiners and a research group. Results show that census design, data analysis and quality control are evaluated relatively low in specific processes, and accessibility and comparability are evaluated relatively lower than relevance, accuracy, timeliness and consistency in statistical qualities. For minimizing the sampling errors, the probability proportion method should be employed in sampling methods from currently simple sampling method. In addition, fisheries census statistic is desirable to include and compare with those of different countries for consumer oriented data system.

• The Pure and Applied Mathematics
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• v.20 no.2
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• pp.109-116
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• 2013

In this paper, we propose a Jonckheere type test statistic for testing the parallelism of k regression lines against ordered alternatives. The order restriction problems could arise in various settings such as location, scale, and regression problems. But most of theory about the statistical inferences under order restrictions has been developed to deal with location parameters. The proposed test is an application of Jonckheere's procedure to regression problem. Asymptotic normality and asymptotic distribution-free properties of the test statistic are obtained under some regularity conditions.

• Korean Journal of Mathematics
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• v.26 no.2
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• pp.155-166
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• 2018

Consider FARIMA time series with innovations that have infinite variances. We are interested in the estimation of self-similarities $H_n$ of FARIMA(0, d, 0) by using modified R/S statistic. We can confirm that the $H_n$ converges to Hurst parameter $H=d+\frac{1}{2}$. Finally, we figure out ARMA and minimum variance power spectrum density of FARIMA processes.

• Journal of Korean Elementary Science Education
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• v.32 no.3
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• pp.225-238
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• 2013

The purpose of this study is to find out The Effects of the Learning Motive, Interest and Science Process Skills using the 'Light' Unit on Science-based STEAM. As the subject, 2 classes in the 6th grade of G elementary school located in Busan were selected. Through the pre/post inspection design between experiment and comparison class, the units of science courses in the first semester of 6th grade '1. Light' were applied. The results were as follows: Firstly, it was observed that it would have a meaningful effect to improve the learning motive of students who performed STEAM education. Secondly, it was observed that it would have a meaningful effect to improve the interest of students who performed STEAM education. Especially, the results of 'attention', 'relevance', 'confidence' and 'satisfaction' in the experimental class were higher than those of students in the comparative class. The experimental class gave a positive effect on the 'attention', 'confidence' and 'satisfaction'. According to statistical analysis, this result is meaning. Thirdly, the test on science processing skills showed that there was not statistic meaningful differences between the two groups. But, in the sub-parts, there was statistic meaningful differences between the two groups on the 'integrated inquiry ability'.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4467-4477
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• 2015

This study was a nonequivalent pretest-posttest quasi-experimental study. It was conducted to evaluate the effects of a nursing geriatric nursing education for nursing students' attitude, perception and dementia policy. Subjects were 172 persons, sophomore of nursing college in the city of K and city of J, and the education group was taken 56 houres of gerontological nursing education. Data were analyzed by mean, percentage, t-test and ${\chi}^2$ using SPSS Win 20.0. As the result, in the education group, the knowledge of dementia was higher on average 27.10, and there was a significant statistic differance(t=7.500, p<000). In the atitude of demencia, the average of education group was higher on 4.10, and the atitude about dementia in the education group was more positive and here was a significant statistic difference(t=1.423, p<000). In the understanding of dementia policy, there was more positively improvement However, there was no significant statistic difference (t=1.70, p=.090). Through this result, we could reccognize that gerontological nursing education was effective for nursing students to improve knowledge about dotards, change atitude positively. Therefore we tried this study for provide basic data to develop gerontological nursing education progress combining theory with practice.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.7
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• pp.858-866
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• 2019

In line with the transformation of the shipping industry, the number of mixed-manning ships is on the rise - bringing foreign sailors aboard with their local sailors. During on-board work, a culture is formed according to mixed-manning, which leads to changes in on-board living environment. This causes various problems such as communication problems, and lack of education and training. In order to identify and solve problems caused by mixed-manning, this study presented a plan for systematic education of foreign seafarers. The officials in charge of the affairs of foreign sailors conducted questionnaire surveys at various shipping lines. The questionnaire survey results were analyzed using the IBM SPSS Statistic 26 program. Three improvement measures were proposed to solve the problems after identification of the types of education, education methods, and problems of foreign employees. This study revealed that it is imperative to systematize related education of foreign seafarers based on the results of the survey.

• Research in Mathematical Education
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• v.14 no.2
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• pp.143-172
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• 2010

In this paper, we present an analysis of how students understand some statistical terms, mainly from inferential statistics, which are taught at the high school level. We focus our analysis on those terms that present more difficulties and are persistent in spite of having been studied until the college level. This analysis leads us to a hierarchical classification of responses at different levels of understanding using the SOLO theoretical framework.

• Journal of Integrative Natural Science
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• v.7 no.3
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• pp.208-213
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• 2014

National-wide and/or large scale sample surveys generally use complex sample design. Traditional Pearson chi-square test is not appropriate for the categorical complex sample data. Rao-Scott suggested an adjustment method for Pearson chi-square test, which uses the average of eigenvalues of design matrix of cell probabilities. This study is to compare the efficiency of Rao-Scott first order adjusted test to Wald test for homogeneity between two populations using 2009 Gyeongnam regional education offices's customer satisfaction survey (2009 GREOCSS) data. The 2009 GREOCSS data were collected based on stratified three-stage cluster sampling with probability proportional to size. The empirical results show that the Rao-Scott adjusted test statistic using only the variances of cell probabilities is very close to the Wald test statistic, which uses the covariance matrix of cell probabilities, under the 2009 GREOCSS data based. However it is necessary to be cautious to use the Rao-Scott first order adjusted test statistic in the place of Wald test because its efficiency is decreasing as the relative variance of eigenvalues of the design matrix of cell probabilities is increasing, specially more when the number of degrees of freedom is small.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1057-1065
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• 2010

In this paper we discuss some cautionary notes in using the Pearson chi-squared test statistic for the goodness-of-fit of the ordinal response model. If a model includes continuous type explanatory variables, the resulting table from the t of a model is not a regular one in the sense that the cell boundaries are not fixed but randomly determined by some other criteria. The chi-squared statistic from this kind of table does not have a limiting chi-square distribution in general and we need to be very cautious of the use of a chi-squared type goodness-of-t test. We also study the limiting distribution of the chi-squared type statistic for testing the goodness-of-t of cumulative logit models with ordinal responses. The regularity conditions necessary to the limiting distribution will be reformulated in the framework of the cumulative logit model by modifying those of Moore and Spruill (1975). Due to the complex limiting distribution, a parametric bootstrap testing procedure is a good alternative and we explained the suggested method through a practical example of an ordinal response dataset.

• The Korean Journal of Applied Statistics
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• v.34 no.6
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• pp.889-904
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• 2021

This study is a follow-up study of Kang and Kim (2020). In this study, we derive the sample influence functions of the t-statistic which were not directly derived in previous researches. Throughout these results, we both mathematically examine the relationship between the empirical influence function and the sample influence function, and consider a method to approximate the sample influence function by the empirical influence function. Also, the validity of the relationship between an approximated sample influence function and the empirical influence function is verified by a simulation of a random sample of size 300 from normal distribution. As a result of the simulation, the relationship between the sample influence function which is derived from the t-statistic and the empirical influence function, and the method of approximating the sample influence function through the empirical influence function were verified. This research has significance in proposing both a method which reduces errors in approximation of the empirical influence function and an effective and practical method that evolves from previous research which approximates the sample influence function directly through the empirical influence function by constant revision.