• 경영과정보연구
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• 제2권
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• pp.237-266
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• 1998

The purpose of this study was to analyze the differences of application level the computer programming languages in major. The method of this study is the empirical method based on theoretical one with the previous bibliographical suduies. The sample consists of 268 listed university disclosing over the period of Dec. 1. 1997 to Du. 15. 1997. The samples were 10 university in university of Seoul, Pusan, Masan City, Korea. The data were collected by questionnaire research through interview with each person. The analysis data was carried to 268 samples by using SPSS/PC for Windows Version 7.5 statistical package. Statistical methods such as frequency analysis, chi-square test, ANOVA test, correlation analysis were used to test the research questions. This paper focuses on the design of the hypothesis test show that the 2 type are significantly different in major of university students. Before the test of research questions performed it frequency analysis by using the factor score that bring each items. The research type of 2 guoups, that is, BA Group(business administration group) and NBA Group(non-business administration guoup). To summarize the result of this study is as follows ; (1) Hypothesis 1 : Concerning about computer programming language in major, the significant difference is application the present condition. (2) Hypothesis 2 : Concerning about computer programming language in major, the significant difference is application level. (3) Hypothesis 3 : Concerning about each application software in major, the significant difference is application level. According to the results of this study, it is found that (1) Hypothesis 1 related In application the present condition of computer programming language was accepted its all at 0.05 % significance level. (2) Hypothesis 2 related to application level of computer programming language was accepted its all at 0.05 % significance level. (3) Hypothesis 3 related to application level of each application software was rejected its all. at 0.05 % significance level.

• 재무관리연구
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• 제21권1호
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• pp.125-148
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• 2004

본 논문에서는 주식시장(Stock Market)에 대한 통화량(money supply)의 관계에 대해 통화량의 파급 시차와 파급 구조 등을 밝히려는 기존의 연구와는 달리, 새고전학파(new classical macroeconomics)와 신케인지안(new Keynesian macroeconomics)의 각기 다른 기대설정에 대하여 합리적기대가설(rational expectation hypothesis)과 효율적시장가설(efficient market hypothesis)을 수용하여 가설을 설정하였다. 즉, 통화량 변화에 대해 경제주체들이 합리적으로 기대를 한다면 경제주체들은 통화량 변화에 대해 주식시장에 대하여 즉각적으로 반응을 할 것이라는 가설 1과 주식시장에 대한 경제주체들의 기대가 외환위기 이전과 이후에 변화가 있을 것이라는 가설 2를 설정하여, ADF 검정법(augmented Dickey-Fuller test)과 PP 검정법(Phillips-Perron test)으로 단위근을 확인 한 후, 요한슨 공적분검정(Johansen Procedure)과 백터오차수정모형(vector error correction models)으로 외환위기 이전과 이후 기간에 대하여 각각 검정을 하였다.

• 한국과학교육학회지
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• 제24권4호
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• pp.722-730
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• 2004

The purpose of this study was to test the notion that the inter-individual difference in hypothesis-generating is presumably detected by differentiating subjects' EEG correlation patterns of the prefrontal lobes. To test the notion of the inter-individual difference by EEG analysis, eight healthy undergraduate volunteers' EEG signals on the prefrontal lobes were recorded during hypothesis-generating and resting with eyes-closed condition. Their EEG signals were analyzed by time durations and transformed into correlation patterns. The results showed that subjects' EEG correlation patterns during hypothesis-generating were significantly different among individuals. In addition, the EEG correlation patterns were decreased during hypothesis-generating thinking. Furthermore, subject's EEG correlation showed a fluctuationpattern through-out hypothesis-generating, which is presumably caused by the difference of subjects' thinking activities in hypothesis-generating. This study also suggests a possibility that student's scientific thinking ability and the difficulty of scientific knowledge generating may be measured by the analysis of subject's EEG correlation pattern of the prefrontal lobes.

• 대한간호학회지
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• 제39권4호
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• pp.528-538
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• 2009

Purpose: This study was done to develop and test a palliative care program based on home care nursing. Methods: A quasi-experimental design was employed. Changes in the variables were evaluated to test effects of the developed program. Participants were patients with terminal cancer and their families receiving home care nursing from six hospitals (experimental group: 24 and control group: 22). Data collection was conducted from February to October, 2006. Chi-square test, Fisher's exact test, t-test, Mann-Whitney U test and repeated measures ANOVA were used to analyse the data. Results: Hypothesis 1, the experimental group receiving this program will experience less pain (severe, average, weak pain) than the control group, was supported. Hypothesis 2, the experimental group will have less symptom experience than the control group, was supported. Hypothesis 3, the experimental group will have higher QOL than the control group, was supported and the last hypothesis 4, family burden in the experimental group will be less than the control group, was supported. Conclusion: The home care nursing based palliative program developed in this study was found to be an effective program to reduce patient pain and symptom experience, to improve patient QOL and to decrease family burden.

• 지역사회간호학회지
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• 제21권2호
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• pp.252-262
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• 2010

Purpose: Designed to examine the effects of aerobic exercise therapy on elders' physical functions. Methods: Selected from an elderly welfare center in an agricultural district located in N City. Thirty seven elders were selected in the experimental group and 38 in the control group, and all the subjects aged over 65. Collected data were statistically analyzed by SPSS/PC 12.0 Win. Detailed data analysis methods were Chi-square, Fisher's exact test, Kolmogorov-Smirnov test, t-test, Mann-Whitney u-test, paired t-test, and Wilcoxon's rank sum test. Results: The first hypothesis "The experimental group who had the aerobic exercise therapy will have greater development in lower leg muscular strength compared to the control group" was supported (t=8.95, p<.001). The second hypothesis "Aerobic exercise therapy participants will show greater development in lower leg endurance" was supported (t=6.12, p<.001). The third hypothesis "Aerobic exercise therapy participants will show greater development in flexibility" was supported (U=49.00, p<.001). The forth hypothesis "Aerobic exercise therapy participants will show greater development in balance" was supported (U=322.00, p<.001). Conclusion: The aerobic exercise therapy showed positive effects on physical functions of the elderly in a rural area.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.523-530
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• 2020

The efficient market hypothesis explains the random walk hypothesis suggesting that stock prices are independent of each other, hence, it is impossible to earn abnormal profits. The positive effect of a well-functioning and highly efficient stock market on the performance of an economy motivated the Philippine Stock Exchange to pursue massive modernization initiatives. This research provides evidence of the existence of random walk in the Philippine stock market employing the Augmented Dickey-Fuller (1981) and Phillips-Perron (1988) unit root tests, the Lo-MacKinlay's (1988) conventional variance ratio test, and Chow-Denning's (1993) simple multiple variance ratio test. Results of the ADF and PP unit root tests confirm the necessary condition for a random walk. The Chow-Denning (1993) maximum /z/ statistic and the Wald test statistic as in Richardson and Smith (1991) for the joint hypotheses and the Lo and MacKinlay (1988) individual statistics variance ratio test generally accepted the null hypothesis of a random walk. That is, the unit root and variance ratio tests consistently indicate that the null hypothesis of random walk cannot be rejected. The existence of a random walk in weak-form efficiency can be attributed to market liquidity as a result of continuous development and modernization of the Philippine equity market.

• 산업경영시스템학회지
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• 제35권1호
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• pp.154-160
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• 2012

This paper reviewed the two proposed hypotheses. The first hypothesis is to test the relationship between knowledge management and incremental innovation, and the second hypothesis is to test the moderating effect of firm-size on that relationship. Data were gathered from 434 employees in service industry, and multiple regression analysis was used to test two proposed hypotheses. In the first hypothesis, it was appeared that knowledge acquisition and knowledge transfer have positive effects on all incremental innovation factors (process innovation, operation innovation, service innovation). In the second hypothesis, it was appeared that firm-size has an positive interaction effect on incremental innovation in knowledge transfer, but not in knowledge acquisition. It means that knowledge transfer has more positive effect on incremental innovation in large firm-size than in small firm-size.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1998년도 Proceedings of International Workshop on Advanced Image Technology
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• pp.171-176
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• 1998

This paper resents a spatio-temporal video segmentation method. The algorithm segments each frame of video sequences captured by a static or moving camera into moving objects (foreground) and background using a statistical hypothesis test. In the proposed method, three consecutive image frames are exploited and a hypothesis testing is performed by comparing two means from two consecutive difference images, which results in a T-test. This hypothesis test yields change detection mask that indicates moving areas (foreground) and non-moving areas (background). Moreover, an effective method for extracting object mask form change detection mask is proposed.

• 한국지능시스템학회논문지
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• 제21권1호
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• pp.25-28
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• 2011

본 연구는 퍼지가설 검정을 위하여 퍼지수로 주어진 데이터에 대한 데이터의 조건을 제시하였고 면적비에 의한 동의지수법을 정의한 후 균일최강력 퍼지검정법을 제안하였다. 또한 균일최강력 퍼지 검정을 위하여 유의수준에 의한 신뢰한계를 제시하였다. 예증으로서 지수분포에서 얻은 랜덤셈플을 우도비에 의한 최강력 기각역을 구하여 동의지수법을 이용한 카이제곱분포의 퍼지검정법을 제시하였다.

• Communications for Statistical Applications and Methods
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• 제11권3호
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• pp.643-655
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• 2004

L$_1$-estimator in the linear regression model is widely recognized to have superior robustness in the presence of vertical outliers. While the L$_1$-estimation procedures and algorithms have been developed quite well, less progress has been made with the hypothesis test in the multiple L$_1$-regression. This article suggests computer-intensive resampling approaches, jackknife and bootstrap methods, to estimating the variance of L$_1$-estimator and the scale parameter that are required to compute the test statistics. Monte Carlo simulation studies are performed to measure the power of tests in small samples. The simulation results indicate that bootstrap estimation method is the most powerful one when it is employed to the likelihood ratio test.