• Journal of Environmental Science International
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• v.13 no.10
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• pp.955-963
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• 2004

This study was conducted to find and explain characteristics of diverse social groups' attitudes toward nuclear power plant. 7 hypotheses were constructed and statistically tested. In order to test 7 hypotheses, both Nuclear Energy Attitude Scale and Environmental Attitude Scale were distributed and field surveyed on 839 respondents representing a diverse range of subject groups. The results showed that 6 hypotheses were statistically accepted while 1 hypothesis statistically rejected. Contrary to the first hypothesis, this test found that people in close proximity to the nuclear power plant had more positive attitudes toward nuclear power than those living in distance from the nuclear power plant. Males had more positive nuclear energy attitudes than females. Academic backgrounds were not related to nuclear energy attitudes. Environmental attitudes showed negative relationship with nuclear energy attitudes. While anti-nuclear citizen action groups had the most negative attitudes, nuclear power plant workers had the most positive attitudes among responding groups. Finally, university students majoring in nuclear engineering had more positive attitudes than those of religious studies.

• Korean Journal of Child Studies
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• v.26 no.6
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• pp.385-392
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• 2005

The current study assumes that the net effect of rewards on creativity is determined by interactions of motivational and cognitive properties conveyed by rewards when rewards are actually delivered. To test this hypothesis, experimental research was manipulated with 81 fourth-grade elementary students in Seoul, Korea, consisted of two sessions separated by a one-week interval. Data analyses pointed out that the changes of the creativity performance cannot be explained by the motivational changes and, in general, supported the hypothesis proposed in this study.

• Environmental Analysis Health and Toxicology
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• v.31
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• pp.8.1-8.2
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• 2016

A simple linear model to test the hypothesis based on one-on-one relationship has been used to find the causative factors of diseases. However, we now know that not just one, but many factors from different systems such as chemical exposure, genes, epigenetic changes, and proteins are involved in the pathogenesis of chronic diseases such as diabetes mellitus. So, with availability of modern technologies to understand the intricate nature of relations among complex systems, we need to move forward to the future by taking complex systems model.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.199-202
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• 2006

We propose some properties of fuzzy p-value and fuzzy significance level to the test statistics for the fuzzy hypotheses testing. Appling the principle of agreement index, we suggest two method for fuzzy hypothesis testing by fuzzy rejection region and fuzzy p-value with fuzzy hypothesis $H_{f,0}$.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1115-1124
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• 2010

Normal approximation methods under the null hypothesis of no difference are frequently used to test the two independent proportions in non-inferiority trials. However, these tests are not appropriate under the null hypothesis of non-zero difference. We review the likelihood score methods proposed by Miettinen and Nurminen, Farrington and Manning, and Gart and Nam and compare the performance of these tests. The simulation study shows that the likelihood score tests under the null hypothesis of non-zero difference have better performance at a Type I error and power than usual normal approximation methods.

• The Journal of Korean Society for School & Community Health Education
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• v.10 no.1
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• pp.47-60
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• 2009

Purpose: The purpose of this study was to determine the effects of infection control education, knowledge, attitude and self-confidence of student nurses, regarding nosocomial infection control. Method: This was a nonequivalent control group nonsychronized design. The participants were 83 student nurses who were conveniently assigned to the experimental or a control group. The data were collected from March 5 to June 11, 2008 and analyzed based on Fisher's exact test and t-test. Result: The 1st hypothesis, "Posttest nosocomial infection control knowledge scores for the experimental group will be higher than scores for the control group" was supported (t=2.057, p=.043). The 2nd hypothesis, "Posttest nosocomial infection control attitude scores for the experimental group will be higher than those for the control group" was not statistically significant (t=.466, p=.643), The 3rd hypothesis, "Posttest nosocomial infection control self-confidence scores for the experimental group will be higher than those for the control group" was not statistically significant (t=2.290 p=.025). Conclusion: This infection control education was effective in increasing the levels of knowledge and self-confidence for student nurses regarding nosocomial infection control.

• Journal of the Korean Statistical Society
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• v.18 no.1
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• pp.46-61
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• 1989

This paper is concerned with the development of a nonparametric procedure for the statistical inference about the nonlinear regression parameters. A confidence region and a hypothesis testing procedure based on a class of signed linear rank statistics are proposed and the asymptotic distributions of the test statistic both under the null hypothesis and under a sequence of local alternatives are investigated. Some desirable asymptotic properties including the asymptotic relative efficiency are discussed for various score functions.

• Journal of the Korean Data and Information Science Society
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• v.12 no.1
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• pp.135-142
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• 2001

A multivariate statistic based on interdirection is proposed for detecting dependence among many vectors. The asymptotic distribution of the proposed statistic is derived under the null hypothesis of independence. Also we find the asymptotic distribution under the alternatives contiguous to the null hypothesis, which is needed for later use of computing relative efficiencies.

• Communications for Statistical Applications and Methods
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• v.2 no.2
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• pp.198-212
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• 1995

This study provides a nonparametric procedure for the statistical inference of the parameters in stationary autoregressive processes. A confidence region and a hypothesis testing procedure based on a class of signed linear rank statistics are proposed and the asymptotic distributions of the test statistic both underthe null hypothesis and under a sequence of local alternatives are investigated. Some desirable asymptotic properties including the asymptotic relative efficiency are discussed for various score functions.

• The Pure and Applied Mathematics
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• v.19 no.4
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• pp.363-381
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• 2012

Shortfall risk is considered by taking some exposed risks because the superhedging price is too expensive to be used in practice. Minimizing shortfall risk can be reduced to the problem of finding a randomized test ${\psi}$ in the static problem. The optimization problem can be solved via the classical Neyman-Pearson theory, and can be also explained in terms of hypothesis testing. We introduce the classical Neyman-Pearson lemma expressed in terms of mathematics and see how it is applied to shortfall risk in finance.