• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.3
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• pp.63-73
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• 2019

Purposes - In this research, we look over and investigate associations between shopping items and the demographics of foreign tourists in South Korea. The related seven variables are gender, age, occupations, country of residence, visit month, visit purpose and trip type. In addition, we can graph twenty-one shopping items in association with the demographics of foreign tourists by computing their dissimilarity or similarity on two dimension planes granting that the association exists between the underlying variables. Research design and methodology - This research is performed by Ministry of Culture and Tourism in 2017 and investigated 13,200 foreign tourists from 20 countries. For analyzing the detailed relationships between shopping items and the demographics of foreign tourists, we take advantage of both independent test and correspondence analysis as key statistical techniques. Results - The findings show that shopping items which foreign tourists purchase are closely associated with the three different demographics variables such as country of residence, tour type and visit purpose by monitoring significant p-value of chi-squared statistic Conclusions - This study suggests Ministry of Culture, Sports and Tourism must explore ways toward tourism infrastructure such as global marketing, municipality strategy for attracting foreign tourists, development of diverse shopping items and services and so on.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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• pp.877-887
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• 2002

In this paper, behaviors and properties of p-values for goodness-of-fit test are investigated. With some findings on the p-values, we consider some applications to determine sample size of a survey research using the regression equation based on a pilot study data. Regression equations are obtained by the well-known least squared method, and we find that regression lines could be formulated with only two data points, alternatively. For further studies, this works might be extended to t distributions for testing hypotheses about population mean in order to determine sample size of a prospective study. Also similar arguments could be explored for F test statistics.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.543-557
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• 2006

This paper is concerned with the applicability of the chi-square approximation to the six disparity statistics: the Pearson chi-square, the generalized likelihood ratio, the power divergence, the blended weight chi-square, the blended weight Hellinger distance, and the negative exponential disparity statistic. Three dimensional contingency tables of small and moderate sample sizes are generated to be fitted to all possible hierarchical log-linear models: the completely independent model, the conditionally independent model, the partial association models, and the model with one variable independent of the other two. For models with direct solutions of expected cell counts, point estimates and confidence intervals of the 90 and 95 percentage points of six statistics are explored. For model without direct solutions, the empirical significant levels and the empirical powers of six statistics to test the significance of the three factor interaction are computed and compared.

• Journal of Sasang Constitutional Medicine
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• v.22 no.4
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• pp.49-55
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• 2010

1. Objectives The purpose of this study is to assess the statistical methods used in the Journal of Sasang Constitutional Medicine and to identify the types of errors in the statistical analysis. 2. Methods We have reviewed quantitative articles published in the Journal of Sasang Constitutional Medicine from 2000 to 2009. Except for the case report, a total of 505 articles was reviewed by year. We focused on the methods of statistics in these articles. We have analysed the number of thesis used the statistical methods, the number of the statistical methods, the types of the statistical methods, and the errors of the statistical methods with the object of 202 thesis used the statistical method. 3. Results 1. Of the 370 articles, 202 used inferential statistics. 2. The most dominant was the thesis with one type of the statistical method forming 61.9% (125 thesis) of the total. 3. The ANOVA was the statistic of choice overall (40.1%), followed by the t-test (35.6%). 4. By examining the errors of the statistical methods, there were 49 thesis with errors among 81 thesis using ANOVA, 25 thesis among 72 thesis using t-test, and 18 over 62 thesis using chi-squared test. 4. Conclusions We have found various mistakes or misuses in the applications of statistical methodologies in the articles published in the Journal of Sasang Constitutional Medicine. It is necessary to present the cases of inappropriate statistical methods in order to improve the quality of academic researches. So long as Sasang constitutional medicine uses the statistical methods, researchers should fully examine and be aware of the statistical methods which they wish to use through other research articles, and statistic publications.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.623-632
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• 2016

The purpose of the present study was to evaluate the effect of an offered blanket on the anxiety of patients undergoing brain MRI. The participants were 52 patients who underwent brain MRI in C university hospital of G city. Blanket was applied to the experimental group (n=26) before MRI. Data were collected from May to December 2015, and analysed using the chi-squared test, the independent t-test, and repeated measures ANOVA. The results showed that there was no significant difference in the anxiety measured by STAI of the two groups. But, the level of anxiety measured by the visual analog scales was reduced in the experimental group (t=-2.75, p=0.008). There were no difference in the blood pressure and pulse rate in the experimental and control groups. Therefore, further study is needed to decrease the level of anxiety of patients undergoing brain MRI.

• Journal of Korean Public Health Nursing
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• v.31 no.3
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• pp.464-477
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• 2017

Purpose: This study was conducted to investigate factors affecting the dementia screening test based on the health belief model. Methods: The survey was conducted with structured questionnaires assessing the knowledge of dementia, health beliefs, self-efficacy and cue to action for dementia screening. Study participants were 156 older adults and data from 121 respondents were analyzed. Descriptive statistics, frequency percentage, chi-squared (${\chi}^2$) test, t-test and logistic regression analysis were conducted using SPSS version 23.0. Results: Factors influencing the dementia screening test were found to be gender, self-efficacy on dementia screening, and the presence of family or friends who underwent dementia screening. Older adults who were female (OR=4.92, p=.003), showed an increasing average score of self-efficacy for dementia screening (OR=2.85, p=.002), and had family members or friends who underwent dementia screening (OR=4.60, p=.003) were more likely to receive dementia screening. Conclusion: This study showed that education and programs enhancing self-efficacy associated with the dementia screening test, as well as utilizing the network of family or friends are necessary to increase the rate of dementia screening.

• Journal of the Korean Data and Information Science Society
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• v.23 no.6
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• pp.1279-1287
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• 2012

We particularly emphasized how to determine the number of replications with sequential and multistage procedures. So, the t-test is used to achieve some predetermined level of accuracy efficiently with loss function in the case of normal, chi-squared, an exponential distributions. We provided that the relevance of procedures are sequential procedure, two-stage procedure, modified two-stage procedure, three-stage procedure and accelerated sequential procedure. Monte Carlo simulation is carried out to obtain the stopping sample size that minimizes the risk.

• Communications for Statistical Applications and Methods
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• v.28 no.5
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• pp.463-475
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• 2021

Desgagné and de Micheaux (2018) proposed an alternative univariate normality test to the Jarque-Bera test. The proposed statistic is based on the sample second power skewness and kurtosis while the Jarque-Bera statistic uses sample Pearson's skewness and kurtosis that are the third and fourth standardized sample moments, respectively. In this paper, we generalize their statistic to a multivariate version based on orthogonalization or an empirical standardization of data. The proposed multivariate statistic follows chi-squared distribution approximately. A simulation study shows that the proposed statistic has good control of type I error even for a very small sample size when critical values from the approximate distribution are used. It has comparable power to the multivariate version of the Jarque-Bera test with exactly the same idea of the orthogonalization. It also shows much better power for some mixed normal alternatives.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.145-166
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• 2023

The ongoing COVID-19 pandemic has led to a widespread shift towards non-face-to-face/uncrewed services in various sectors of society. Despite this, research on the digital divide has focused predominantly on analyzing various factors, with the notable absence of studies addressing the digital divide. Therefore, study examined the current digital divide in the transportation sector through a survey-based approach. First, a nationwide survey was conducted among adult men and women to assess their digital device usage. Vulnerable groups sesceptible to digital disparities were identified based on factors such as age, education, and income. Second, comparative analysis was conducted to examine the usage patterns of mobile applications related to the transportation sector among the vulnerable and non-vulnerable groups using chi-squared test. These findings suggest that the vulnerable group exhibited lower awareness and preference for mobile applications, a significantly lower frequency of application usage than the non-vulnerable group. Finally, a comparison of the proficiency in utilizing transportation sector mobile applications was conducted, showing that the vulnerable group demonstrated a significantly lower level of proficiency across all aspects of application usage procedures compared to the non-vulnerable group. These survey results provide a valuable foundation for future policy formulation to reduce the digital divide in the transportation sector. By highlighting the current state of digital disparities, the research contributes to developing evidence-based strategies to enhance inclusivity and equal access to digital services in tjwtransportation.

• Journal of Industrial Technology
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• v.36
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• pp.71-76
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• 2016

In this study, we determined the precise coordinates of TBMs (Tidal Bench Marks), which used as the national reference points in coastal area of Korea, using a GPS data analysis SW for the academic and scientific applications, GAMIT/GLOBK. For accurate 3-D positioning of TBM locations, we performed the GPS point surveying according to the national surveying policy and also acquired the GPS data for 48 TBMs located in the western and southern coastal part of Korea. Considering the results of baseline analysis to each observation session obtained from GAMIT module, the baseline analysis was realized to be done precisely because the values of Normalized RMS (NRMS) were mostly less than ${\pm}0.20mm$. Before the network adjustment using GLOBK module, we evaluated the suitability of observations for each session by applying the chi-squared test (${\chi}^2$ test) to the degree of freedom in observed session. An overall distributions of ${\chi}^2$ test were less than 1.0 for all sessions, and the statistical of ${\chi}^2$ test showed the average, 0.267 with minimum and maximum value, 0.063 and 0.653, respectively. Finally, we analyzed the network adjustment for 48 TBMs to reduce the residuals of baseline analysis on each point by connecting with 42 permanent GPS stations in Korea. In the network adjustment procedure, we set up the weighted values of each permanent station to be allocated between 0.9 and 1.14, and also removed the observed points having residual exceeds 4-times of standard deviation ($4{\sigma}$).