• The Mathematical Education
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• v.63 no.2
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• pp.209-231
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• 2024

The education sector is undergoing significant changes due to the Fourth Industrial Revolution and the advancement of artificial intelligence. Particularly, the importance of education based on artificial intelligence is being emphasized. Accordingly, the purpose of this study is to develop a statistics education program using deep learning prediction in high school mathematics and to examine the impact of such statistically problem-solvingcentered statistics education programs on high school students' statistical literacy and computational thinking. To achieve this goal, a statistics education program using deep learning prediction applicable to high school mathematics was developed. The analysis revealed that students' understanding of context improved through experiencing how data was generated and collected. Additionally, they enhanced their comprehension of data variability while exploring and analyzing various datasets. Moreover, they demonstrated the ability to critically analyze data during the process of validating its reliability. In order to analyze the impact of the statistics education program on high school students' computational thinking, a paired sample t-test was conducted, confirming a statistically significant difference in computational thinking between before and after classes (t=-11.657, p<0.001).

• International Journal of Highway Engineering
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• v.11 no.2
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• pp.17-25
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• 2009

The goal of this study is to develop Logistic regression model by accident location(entry section, exit section, inside intersection and pedestrian crossing section). Based on the accident data of Chungbuk Provincial Police Agency(2004$\sim$2005) and the field survey data, the geometric elements, environmental factor and others related to traffic accidents were analyzed. Developed models are all analyzed to be statistically significant(chi-square p=0.000, Nagelkerke $R^2$=0.363$\sim$0.819). The models show that the common factors of accidents are the traffic volume(ADT), distant of crossing and exclusive left turn lane, and the specific factors are the minor traffic volume(inside intersection model) and U-turn of main road(pedestrian crossing model). Hosmer & Loineshow tests are evaluated to be statistically significant(p$\geqq$0.05) except the entry section model. The correct classification rates are also analyzed to be very predictable(more than 73.9% to all models).

• The Korean Journal of Applied Statistics
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• v.19 no.2
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• pp.231-240
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• 2006

It is well understood that a paired comparison (paired t test) provides better precision than a group comparison (two-sample t test), when the pairing is effective (the variation within a pair is small). However, when the variation among the pairs is sufficiently small, the group comparison is likely to yield a better result. To get a statistical explanation of this, we examine the two methods through an analogy to one-way and two-way analysis of variance. We introduce a new measure, R statistic, which is the ratio of their confidence interval lengths, as a quantitative criterion for comparing the two methods. The distribution of the Rf statistic is described by t and F distribution functions. Through this characterization, we show that the paired comparison can be better than group comparison when the variation among the pairs is statistically significantly large.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.394-405
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• 2014

Purposes of this study are to find difference in efficiency, productivity change and determinants on efficiency of life insurance industry between pre and post-execution of capital market law on the basis of pre(2005-2008) and post-execution(2009-2012) data. Main results of this research are as follows. First, there was no significant difference of mean value for efficiency between pre and post execution of capital market law. Second, difference of mean value for malmquist index between pre and post execution of capital market law was statistically significant at 5% level. This imply increase in productivity for post-execution of capital market law. Third, one of the important determinant for efficiency was the weight of life planner in both pre and post-execution of capital market law. The weight of life planner had significant positive effect on efficiency.

• Distribution Business Review
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• no.3
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• pp.105-119
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• 2003

인터넷 전자상거래와 TV홈쇼핑 상품 구매가 활성화됨에 따라 인터넷 쇼핑몰과 TV홈쇼핑의 소비자 행동특정을 비교 분석하여 두 집단간에 통계적으로 유의한 차이자 있는지 분석하고 이에 대한 마케팅 시사점을 제시하고자 한다. 교차분석 및 T-검정 등을 활용한 통계분석 결과 인터넷 상품구매와 TV 홈쇼핑을 각각 선호하는 두 집단간에 정보수집 등 사전준비 요인, 제품에 대한 편리성 및 서비스 요인 인터넷 사용 환경 풍의 요인에서 두 집단간에 통계적으로 유의적인 차이가 존재하는 것으로 밝혀졌다. 인터넷 전자상거래나 TV 홈쇼핑 업체들은 두 집단간의 이러한 차이 특성을 충분히 고려하여 인터넷 또는 TV 홈쇼핑 마케팅 전략을 운영하여야 할 것이다. 특히 소비자들의 통신판매 제품에 대한 관심이 높아져가 것을 감안하여 대 고객 관계마케팅(CRM)시스템 부문 강화, '상품배송' 면에서 비용 절감과 고객 만족을 위한 SCM 구축방안 개발에 주력하여야 할 것이다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4B
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• pp.355-362
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• 2006

Several techniques of MK test, Spearman's Rho test, Linear Regression test, CUSUM test, Cumulative Deviation, Worsley Likelihood Ratio test, Rank Sum test, and Students' t test were applied to detect the trends of slope and shift which exist in hydrologic and climate time series. The time series of annual rainfall, inflow, tree ring index, and southern oscillation index (SOI) were used and the trends of these series were compared in the study. From the results, it can be found that the data could be classified into two categories such as linear trend and shift. 4 series data of 8 rainfall series which reveal the trend show the shift and 8 series data of 18 tree ring index and March and April series of monthly SOI data show shift. Moreover, ADF test and BDS test were used to test stationarity and non-linearity of the data. In conclusion, through the study, various trend analysis techniques were compared and 6 kinds of characteristics which can exist in hydrologic time series were identified.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.631-643
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• 2017

The purpose of this study is to examine factors affecting the life satisfaction of patients with hemodialysis in order to improve the quality of life for patients with hemodialysis. The subjects of this study are 168 patients who have undergone hemodialysis treatment in the hemodialysis rooms in D-city and C-providence. The data are collected between August 20th to September 5th, 2015. By using SAS 9.3 statistics program for data analysis, frequency, ${\chi}^2$-test, variance analysis and multiple regression analysis are conducted. Based on the analysis, it is found that family support(t=5.33, p<.001) and self-efficacy(t=3.52, p<.001) are statistically significant to the quality of life for male patients. Family support(t=2.58, p<.012) and adherence to self-care(t=4.08, p<.001) are statistically significant to the quality of life for female patients. With the study results, it suggests that nurses can help improve the affective and psychological stability of patients with hemodialysis by recognizing the factors affecting the life satisfaction of patients with hemodialysis by gender, developing and utilizing a nursing intervention.

• The Korean Journal of Applied Statistics
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• v.23 no.2
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• pp.219-234
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• 2010

In index investing according to KOSPI, we estimate Value at Risk(VaR) from the extreme losses of the daily returns which are obtained from KOSPI. To this end, we apply Block Maxima(BM) model which is one of the useful models in the extreme value theory. We also estimate the extremal index to consider the dependency in the occurrence of extreme losses. From the back-testing based on the failure rate method, we can see that the model is adaptable for the VaR estimation. We also compare this model with the GARCH model which is commonly used for the VaR estimation. Back-testing says that there is no meaningful difference between the two models if we assume that the conditional returns follow the t-distribution. However, the estimated VaR based on GARCH model is sensitive to the extreme losses occurred near the epoch of estimation, while that on BM model is not. Thus, estimating the VaR based on GARCH model is preferred for the short-term prediction. However, for the long-term prediction, BM model is better.

• Journal of Music and Human Behavior
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• v.15 no.1
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• pp.25-49
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• 2018

This study examined the effects of song-based group music therapy on the exercise stress and positive psychological capital of youth soccer players. Eighty youth soccer players were assigned to either a song-based music therapy group or a control group. For the analysis of the effects of song-based group music therapy, the Exercise Stress scale and the Athlete Positive Psychological Capital scale were administered before and after the intervention. The collected data were analyzed using an independent sample t test and paired t test. The results were as follows. First, the experimental group showed a significantly lower posttest score on the exercise stress measure than the control group (p < .01). The control group showed a significant increase from pretest to posttest on the exercise stress measure (p < .05). Second, the experimental group scored significantly higher at posttest than the control group on the positive psychological capital measure (p < .01). The control group demonstrated a statistically significant decrease from pretest to posttest on the positive psychological capital scale (p < .05). The results suggest that song-based group music therapy is an effective treatment method that lowers exercise stress and raises positive psychological capital of youth soccer players.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.558-566
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• 2019

The purpose of this study is to fine out whether melodic percussion playing group program affects the team cohesion and team efficacy of youth soccer players. In this study fifty seven middle school soccer players were participated. The participants were assigned to either a melodic percussion playing group or a control group. In order to identify the effectiveness of music program, assessments were conducted using the team cohesion and team efficacy scales before and after the program. The results of comparison analysis through t-test are as follows. First, in the posttest of team cohesion between groups, the experimental group showed a significant difference over the control group. In the pretest and posttest examinations within a experimental group, the group also showed a significant difference. Second, in the posttest of team efficacy between groups, the experimental group showed a significant difference over the control group. In the pretest and posttest examinations within a experimental group, the group also showed a significant difference. These results of this study suggest that melodic percussion playing group program may be an effective intervention tool to improve team cohesion and team efficacy of youth soccer players.