• Communications for Statistical Applications and Methods
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• v.13 no.2
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• pp.309-318
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• 2006

There are many statistical methods of testing the equality of two population variances. Among them, the well-known F test is very sensitive to the normality assumption. Several other tests that do not assume normality have been proposed, but these tests usually need tables of critical values or software for hypotheses testing. McGrath and Yeh (2005) suggested a quick and compact Count Five test requiring only the calculation of the number of extreme points. Since the Count Five test uses only extreme values, this discards some information from the samples, often resulting in a degradation in power. In this paper, an alternative Count Five test using the trimmed mean is proposed and its properties are discussed for some distributions and normal mixtures.

• Journal of Distribution Science
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• v.15 no.2
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• pp.121-132
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• 2017

Purpose - There are many variables related to consumer-brand relationship such as brand attitude, attachment, commitment and brand loyalty and we should manage these all variables successfully to achieve a strong brand loyalty. The objective of this research is to investigate the path from brand attitude and brand attachment to brand commitment and brand loyalty. Specially, this article focuses on the moderating effects of brand type and consumer innovativeness in the causal relationships between variables. Research design, data, and methodology - The seven hypotheses were proposed and tested empirically in this research. Three of seven hypotheses were the effects of brand attitude and brand attachment on the brand commitment and brand loyalty. Another two hypotheses presented the moderating effect of brand type and other two hypotheses expressed the moderating effect of consumer innovativeness in the causal relationships between variables. Research data were collected from the surveying of university students and the 282 samples were used to test the proposed hypotheses empirically. We utilized SPSS 20.0 and AMOS 20.0 for statistical analyses such as reliability test, validity test and path analysis. Results - The results show that brand attitude influences the brand loyalty and brand attachment influences the brand commitment positively. The brand attachment also influences the brand commitment positively. We found that there is a moderating effect of brand type in the causal relationship between brand attitude and loyalty though there is no significant moderating effect in the causality between brand attachment and commitment. We also fount that there is no significant moderating effect of consumer innovativeness in the causal relationships among brand attitude, brand attachment, brand commitment and brand loyalty. In Summary, 5 of 7 hypotheses in this study were supported and 2 hypotheses were not supported. Conclusions - There is a path model of consumer-brand relationship from brand attitude and brand attachment to brand commitment and brand loyalty. Companies should provide their consumers with effective marketing program in every phase of consumer-brand relationship to build brand loyalty. In addition, there are possibilities that the relationships among brand attitude, brand attachment, brand commitment and brand loyalty are moderated by brand type and consumer innovativeness. Companies should consider perceived brand type and innovativenss of their consumers in planning and executing their various marketing programs for their brand management.

• Journal of Distribution Science
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• v.17 no.2
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• pp.91-100
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• 2019

Purpose - The importance of customer experiences has been increasing in retail industry as wells as theme park industry. The purpose of this research is to investigate relationships among brand experience, customer perceived value and brand support behavior in theme park industry. Furthermore, we tried to examine the moderating effects of interaction with customers in the relationships between brand experience and customer perceived value. Besides, we provided some implications for not only the theme park industry but also other service industries such as retail industry. Research design, data, and methodology - The research model has nine hypotheses, and we examined them empirically in this study. Five hypotheses were about relationships among theme park brand experiences, customer perceived value, and brand support behavior. The other four hypotheses were about the moderating effects of customer interactions in the causal relationship between brand experiences and customer perceived value. A total of 167 samples who had visited the theme park were surveyed and the hypotheses were tested with the statistical package programs such as SPSS 21.0 and AMOS 21.0. Results - The results of this study are as follows. First, it was proved that theme park visitors' sensory experience, emotional experience, and cognitive experience have significant positive effects on perceived value, although the hypothesis about the causal relationship between behavioral experience and perceived value is not supported. Second, the customer perceived value has a positive effect on brand support behavior. Third, customer interaction has a positive moderating effect between brand experiences and perceived value, except for behavioral experience. Conclusions - Based on the results of this study, there can be following significances and implications from both theoretical and practical perspectives. First, we confirmed the importance of experiential marketing in other service industries such as retail industry as well as the theme park industry. The marketing managers in these industries need to design various experience programs considering the various characteristics of experiences such as sensory, emotional, and cognitive experiences. Second, it will be necessary for the theme park managers to encourage active participation of customers, and raise the level of interaction between employees and customers.

• The Journal of Fisheries Business Administration
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• v.23 no.2
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• pp.91-99
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• 1992

It has been one of the critical issues that the researchers properly evaluate the fishing rights foregone by the coastal development activities like wetland reclamation. Particularly, estimating the productivity of concerned fishing rights is known to play a significant role in their monetary compensation. As a result, this paper attempts to develop a statistical model characterized by Cobb-Douglas production function in conjunction with the fisheries' productivity estimation. The primary hypotheses involving their statistical production function are as below : 1. The quantity of fisheries production is hypothesized to be expressed as a function of capital (K) and labor(L) put into fishing activities. 2. The estimated parameters of K and L are hypothesized to satisfy the conventional condition of production function as a form of Cobb-Douglas. These statistical tests reveal that the shellfish farming productivity heavily depends on the acre of mariculture while the input of labor force also considerably affects its productivity. In case of the fixed net fishing productivity, both the factors of capital and labor similarly affect the marginal change in its productivity. En addition, the productivity of shellfish (arming turns out to follow the increasing returns to scale, whereas that of fixed net fishing comes up with the decreasing returns to scale.

• Journal of Distribution Science
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• v.20 no.5
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• pp.129-135
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• 2022

Purpose: This study aims to establish the effects of psychological empowerment on retail sales employees. It further investigates how psychological empowerment can be used to mitigate the factors that affect sales workers in addition to meeting the feelings and emotional wellbeing of sales workers to improve their productivity and the success of their organizations. Research design, data, and methodology: The current author conducted SPSS statistical analysis program to gauge the statistical association between two main constructs (Psychological Empowerment and Job performance) using 217 respondents. The main statistical tool was selected by a multiple regression methodology. Results: The statistical test from the analysis is presented in the finding section and shows that β values and P-values are greater than 0 and less than 0.05 respectively and thus, this research could reject null hypotheses which mention that psychological empowerment cannot be associated with job performance. Conclusions: All in all, this research could conclude that it will improve the attitudes of retail sales workers towards their job, making them self-committed to the tasks assigned through significant psychological empowerment factors. The retention of these workers would be enhanced because they would attain job satisfaction through a positive perception of the tasks assigned to them.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.4
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• pp.79-85
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• 2002

In general, estimates of average service lives and of mortality functions are less well-based than most types of economic statistics published by statistical offices. Therefore, hypotheses about service lives of tangible assets and their distribution are most difficult aspects to tackle. In this paper, estimates of service lives based on directly observed data on domestic industrial property and retirement rates are presented.

• Journal of the Korean Society for Library and Information Science
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• v.18
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• pp.129-155
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• 1990

This study suggests two hypotheses and verifies them. First hypothesis is that discriminant analysis which is a statistical technique can be used to classify documents on the subject of organic chemistry by nine subareas. Second hypothesis is that discriminant analysis is superior to cluster analysis in classifing objects by fixed categories.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.126-134
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• 2016

This study examines effect in customer satisfaction of the emotional intelligence of members at service providing department in the hotel; A case of five star hotels in Dajeon Research hypotheses were developed based on previous literature, and data were collected from 350 employees working at the hotel restaurant service business located in Daejeon, ROK, were investigated herein The collected data were then analysed using frequence reliability For this research analysis, a self-recording method was used where and examiner explains the survey and respondents writhen down their answers to survey questions Statistical processing in this study was done through data cidubg and data cleaning then with the SPSS(Statistical Package for Social Science)v. 18.0. This result the emotional intelligence of service-providing employees at food service department of hotel was found to have a positive effect on customer satisfaction via understanding of others and emotional control. And the understanding of oneself, understanding of others and emotional control in emotional intelligence had a positive effect on job satisfaction. Emotional control, and emotioal use were found to affect organizational commitment positively.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.535-543
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• 2003

A ranked set sample version of the sign test is proposed for testing hypotheses concerning the quantiles of a population characteristic by Kaur, et. al(2002). In this paper, we proposed the ranked set sample Wilcoxon signed rank test for quantiles under equal allocation. We obtain the asymptotic property and the asymptotic relative efficiencies of the proposed test statistic with respect to Wilcoxon signed rank test of simple random sample for quantiles under equal allocation. We calculate the ARE of test statistics, the proposed test statistic is more efficient than simple random sampling for all quantiles. The relative advantage of ranked set sampling is greatest at the median and tapers off in the tails.

• 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.