Thesis (MA)--University of Stellenbosch, 2003. / ENGLISH ABSTRACT: The primary aim of the present study was to examine whether the culture of a society influences the way in which people justify certain aggressive behaviours in certain situations. A total of 756 students from Spain, Japan and South Africa participated in completing the CAMA, a measure of justification of aggression. The results showed that there were significant differences within the countries. There were differences in the levels of acceptance of certain acts between these countries. Further fmdings also indicated that there was a difference between the males of the countries and between the females of these countries. It was found that cultural influences and the norms within these countries bring about differences in justification of aggression in different situations. There were also some general trends of acceptance, with direct and indirect verbal acts e.g. sarcasm, hindering and shouting being more acceptable than physical acts such as hitting, killing and torture. It is hoped that the present findings of this research will make members of society more aware of their responsibility to help reduce aggressive acts by teaching and reinforcing norms against it. It is also hoped that the international community will gain better insight into the fact that South-Africa faces unique challenges because of the political and social changes in the country. / AFRIKAANSE OPSOMMING: Die primêre doel van die huidige studie was om vas te stelof 'n samelewing se kultuur 'n rol speel by die regverdiging van sekere aggressiewe gedrag in bepaalde omstandighede. 'n Totaal van 756 studente van Spanje, Japan en Suid Afrika het die CAMA vraelys voltooi. Die vraelys meet die regverdiging van aggressie in sekere omstandighede. Betekenisvolle verskille is tussen die lande gevind. Daar is ook betekenisvolle verskille tussen die mans van die drie lande asook tussen die vrouens van die drie lande gevind. Daar is gevind dat kulturele verskille en die norme binne 'n samelewing meebring dat daar verskille is in die mate waarin samelewings sekere aggressiewe gedrag aanvaarbaar vind in sekere situasies. Daar was ook 'n groter algemene aanvaarbaarheid van verbale aggressie bv. sarkasme, verhindering en skreeu as fisiese aggressie soos slaan, om dood te maak en marteling. Hopelik maak hierdie navorsing mense meer bewus van elkeen in die samelewing se verantwoordelikheid om die norme teen geweld te versterk asook om die norme aan hulle nageslagte oor te dra. Verder sal die internasionale gemeenskap hopelik beter insig kry oor die unieke uitdagings wat Suid-Afrika bied as gevolg van die politieke en sosiale veranderinge in die land.

This study was designed to determine whether chis-quared based tests for independence give reliable estimates (as compared to the exact values provided by Fisher's exact probabilities test) of the probability of a relationship between the variables in 3 X 3, 3 X 4 , and 3 X 5 contingency tables when the sample size is 10, 20, or 30. In addition to the classical (uncorrected) chi-squared test, four methods for continuity correction were compared to Fisher's exact probabilities test. The four methods were Yates' correction, two corrections attributed to Cochran, and Mantel's correction. The study was modeled after a similar comparison conducted on 2 X 2 contingency tables and published by Michael Haber.

In order to evaluate and manage portfolio risk, we separated this project into three sections. In the first section we constructed a portfolio with 15 different stocks and six options with different strategies. The portfolio was implemented in Interactive Brokers and rebalanced weekly through five holding periods. In the second section we modeled the loss distribution of the whole portfolio with normal and student-t distributions, we computed the Value-at-Risk and expected shortfall in detail for the portfolio loss in each holding week, and then we evaluated differences between the normal and student-t distributions. In the third section we applied the ARMA(1,1)-GARCH(1,1) model to simulate our assets and compared the polynomial tails with Gaussian and t-distribution innovations.

In order to evaluate and manage portfolio risk, we separated this project into three sections. In the first section we constructed a portfolio with 15 different stocks and six options with different strategies. The portfolio was implemented in Interactive Brokers and rebalanced weekly through five holding periods. In the second section we modeled the loss distribution of the whole portfolio with normal and student-t distributions, we computed the Value-at-Risk and expected shortfall in detail for the portfolio loss in each holding week, and then we evaluated differences between the normal and student-t distributions. In the third section we applied the ARMA(1,1)-GARCH(1,1) model to simulate our assets and compared the polynomial tails with Gaussian and t-distribution innovations.

The relative power of goodness-of-fit test statistics has long been debated in the literature. Chi-Square type test statistics to determine 'fit' for categorical data are still dominant in the goodness-of-fit arena. Empirical Distribution Function type goodness-of-fit test statistics are known to be relatively more powerful than Chi-Square type test statistics for restricted types of null and alternative distributions. In many practical applications researchers who use a standard Chi-Square type goodness-of-fit test statistic ignore the rank of ordinal classes. This thesis reviews literature in the goodness-of-fit field, with major emphasis on categorical goodness-of-fit tests. The continued use of an asymptotic distribution to approximate the exact distribution of categorical goodness-of-fit test statistics is discouraged. It is unlikely that an asymptotic distribution will produce a more accurate estimation of the exact distribution of a goodness-of-fit test statistic than a Monte Carlo approximation with a large number of simulations. Due to their relatively higher powers for restricted types of null and alternative distributions, several authors recommend the use of Empirical Distribution Function test statistics over nominal goodness-of-fit test statistics such as Pearson's Chi-Square. In-depth power studies confirm the views of other authors that categorical Empirical Distribution Function type test statistics do not have higher power for some common null and alternative distributions. Because of this, it is not sensible to make a conclusive recommendation to always use an Empirical Distribution Function type test statistic instead of a nominal goodness-of-fit test statistic. Traditionally the recommendation to determine 'fit' for multivariate categorical data is to treat categories as nominal, an approach which precludes any gain in power which may accrue from a ranking, should one or more variables be ordinal. The presence of multiple criteria through multivariate data may result in partially ordered categories, some of which have equal ranking. This thesis proposes a modification to the currently available Kolmogorov-Smirnov test statistics for ordinal and nominal categorical data to account for situations of partially ordered categories. The new test statistic, called the Combined Kolmogorov-Smirnov, is relatively more powerful than Pearson's Chi-Square and the nominal Kolmogorov-Smirnov test statistic for some null and alternative distributions. A recommendation is made to use the new test statistic with higher power in situations where some benefit can be achieved by incorporating an Empirical Distribution Function approach, but the data lack a complete natural ordering of categories. The new and established categorical goodness-of-fit test statistics are demonstrated in the analysis of categorical data with brief applications as diverse as familiarity of defence programs, the number of recruits produced by the Merlin bird, a demographic problem, and DNA profiling of genotypes. The results from these applications confirm the recommendations associated with specific goodness-of-fit test statistics throughout this thesis.

The test of homogeneity for intraclass correlation coefficients has been one of the active topics in statistical research. Several chi-square tests have been proposed to test the homogeneity of intraclass correlations in the past few decades. The big concern for them is that these methods are seriously biased when sample sizes are not large. In this thesis, data driven approaches are proposed to testing the homogeneity of intraclass correlation coefficients of several populations. Through simulation study, data driven methods have been proved to be less biased and accurate than some commonly used chi-square tests.

Purpose/aim The purpose of the research is to analyze the relationship between water pollution (WP) and the economic development in China. We found a vicious cycle that at the same time as China’s economy has developed; the WP has become the focus of attention, and has also caused huge economic losses. Faced with this situation, this topic is really worth to study. Design/methodology/approach The research adopted a quantitative methodology for the exploration, and conducted a survey through questionnaires which were answered by different people. These respondents come from four areas in China. After having conducted the survey, we selected three typical provinces as representative for each area, and surveyed the basic information about these places. The sample information was calculated by the Chi-square test. The results will be analyzed together with the findings below. Findings The findings indicated that through an analysis of GDP, population, the economic development level and the degree of WP, there is relationship between economic development and WP. When people ignore the problem of WP, and just focus on the economy, the relationship shows that the more developing of economy, the more serious the WP becomes. Originality/value The original idea in our dissertation is to discuss the relationship between economic development and WP in China. The water problem and economic development form a vicious circle. And it seriously affects the whole China. The study has a value for the improvement of the environmental awareness of all the people in China, and advocates the government to develop the economy, and at the same time protect the water sources.

During 2012, the employer of this essay carried out a telephone survey with 18000 participants and a web panel survey with 708 participants. Those who partook in the telephone survey were given a choice to join the web panel. The purpose of this work is to study the participants of the telephone survey and see if they reflect the Swedish population with regards to several socio-demographic factors. Also, we intend to investigate if the propensity to join the web panel differs for participants of the telephone survey with regards to various socio-demographic affiliations. It is also of interest to study if the response pattern is different for participants of the telephone survey that would like to join the web panel and those who reject. A comparison of response pattern between the telephone survey and web panel survey has also been done, to see if there exist any differences for these two groups of surveys. The statistical methods used in this essay are descriptive statistics, multiple logistic regression and decision trees. Conclusions to be drawn with result from these methods are that the participants from the telephone survey do reflect the Swedish population regarding certain socio-demographic factors and that there is a slight difference in propensity to join the web panel for people which have dissimilar socio-demographic affiliation. It has also been found that there is a slight difference in response pattern for participants who would or would not like to join the web panel, as well as differences in response pattern also exist between the telephone survey and the web panel survey.

The goal of the present thesis is to ascertain the impact of different drugs, intended for the infarction treatment; investigation of the other factors, which may stipulate bleeding in the course of the operation and within the post-operation period. The investigation was carried out in two stages. During the first stage the data was accumulated for processing (investigation of the sample homogeneity and normality); the second stage implied solution of the statistical tasks (solution of the tasks, which correspond to the goals of the thesis). The methods of data analysis and the models of binary logistic and linear logistic regression were applied. 89 patients, who survived the myocarditis infarction, were investigated and it was ascertained that there is no huge difference in between the tranexamic acid and aprotinin. The bleeding complications may be caused by aspirin, which has been used before the operation. One of the complications, i.e. the drainage, may be predicted, judging from the amount of haemoglobin, haematocrit in the blood as well as creatinin. The model of the binary logistic regression assisted us in drawing the conclusion that smoking, hypothermia, euroscore and other factors produce an impact upon the bleeding complications.

Thesis (M. A.)--University of Notre Dame, 2005. / Thesis directed by Ke-Hai Yuan for the Department of Psychology. "October 2005." Includes bibliographical references (leaves 60-63).