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Impacts of 1990's genocide on population of Rwanda and its awareness about family planning
Jelínková, Kamila ; Hulíková Tesárková, Klára (advisor) ; Kurtinová, Olga (referee)
Impacts of 1990's genocide on population of Rwanda and its awareness about family planning Abstract This thesis pursues the demographic development and the population's attitude to family planning in the state of Rwanda. The observed time period includes the second half of the 20th century to the present time. The first aim is the basic description of the demographic development of the state in relation to historical events. It's well known that wars have a negative impact on the population and economics of a state. The civil war broke out which brought big population losses in Rwanda in the 1990's. In this period the demographic revolution proceeded as it had in many other developing countries, which was important for the socioeconomic development of the state, and it was ceased as a consequence of the genocide. The Rwandan government at that time as one of the first governments began with the support of family planning programmes, which could have had a positive impact on the acceleration of the demographic transition. The second aim of the thesis is the determination whether the genocide had an impact on these governmental initiatives and stalled broadening of the awareness of family planning among the population this way, namely by means of media. The last aim of the thesis is the determination whether...
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Mediation analysis in statistics
Horáková, Lucie ; Hendl, Jan (advisor) ; Soukup, Petr (referee)
Diploma thesis "Mediation Analysis in Sociology" deals with mediation analysis and possibilities of its application in sociology, depending on the type of the dependent variable that enters the analysis. In the first case the dependent variable is continuous - in this case the SPSS software and its PROCESS add-on are used to directly analyse the mediation. In the second case the dependent variable that enters the analysis is binary - the PROCESS add-on doesn't allow this option; therefore, the analysis is performed in SPSS software by the set of linear and logistic regressions according to the Baron & Kenny method. Two case studies from the field of sociology, GSS (General Social Survey) and ISSP (International Social Survey Programme), are used in the thesis and the consequences of the transition from continuous dependent variable to binary are examined using the secondary analysis of these data.
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Intergenerational Relationships in Contemporary Society
Dupalová, Petra ; Hamplová, Dana (advisor) ; Sládek, Jan (referee)
Intergenerational relationships in contemporary society Abstract The diploma thesis deals with the theme of intergenerational relationships, particularly focusing on ageism. This theme was chosen for the present social development and also because of its relevance. Intergenerational relations are becoming an important element of everyday life and thus have an impact on the lives of individuals and theirs families. Demographic indicators have a big influence for ageism and their analysis will also be part of the work. The work will include both parts, theoretical part, which will be familiar with the problems of intergenerational communication and conflict resolution and discuss the literature dealing with this issue, as well as empirical part, based mainly on secondary data analysis of sociological research. All calculations are performed by the SPSS software. Keywords: Intergenerational Relationships, Ageism, Aging, Society, Individual, Generation, SPSS
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Dolování znalostí z rozsáhlých statistických souborů lékařských dat
Badelita, Elvyn-George
Final thesis deals with information-mining from large sets of medical data using methods and machine learning algorithms. The subject of the theoretical part is machine learning and its distribution, description of the basic data types in data mining, most important classifications and predictions methods, criterion defining the quality of prediction methods, description of data mining methodology and frequently used systems. The practical part focuses on statistical and informatics survey of provided medical data, appropriate transformation, subsequent design and implementation of experiments using machine learning methods to acquire new knowledge and hidden information and finally interpretation of the results together with conclusions for target groups.
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Hypothesis testing in marketing research
Cihlář, Martin ; Vild, Jiří (advisor) ; Stecenková, Marina (referee)
My thesis deals with hypothetical tests in marketing research that are used mainly for evaluating survey research. At the beginning of the thesis I shortly describe the marketing research and it's process. In the next chapter I deal with data and their editing for analysis, afterwards in the third chapter I explain basic hypothesis descriptions. In this chapter examples, that are calculated either without software or with the SPSS version 18. In case I use the SPSS program I will be described the input process.
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Investing posibilities of citizen in the Czech Republic
Nocar, Jan ; Bartošová, Jitka (advisor) ; Jelínek, Jiří (referee)
This thesis discusses the options households have when it comes to investing in capital markets in the Czech Republic. The issue of investing and capital market options is analyzed. Following this analysis comes the description of financial instruments, their characteristics, and the usability of these instruments by small investors. On the basis of the theory presented, a study was conducted to examine the usage of individual financial products. The collected data was processed using modern software tools, which helped in drawing several conclusions, results, and recommendations for investors and financial instrument providers alike.
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A comparison of statistical packages such as SPSS, STATISTICA, and SAS Enterprise Guide.
Torboněnko, Natalja ; Řezanková, Hana (advisor) ; Pecáková, Iva (referee)
The purpose of this bachelor thesis is to compare three statistical software packages when applied to analysis of categorical data. These packages are SPSS, STATISTICA , and SAS Enterprise Guide. They provide a wide variety of statistical and graphical techniques, and enable users to obtain the results of statistical procedures, without requiring programming. The comparison between these packages were based upon some features such as data input, capability to define missing values, value labels, producing a frequency tables (including multiple response), making a bar graphs, descriptive statistics, Binomial test, Chi-square goodness-of-fit test.
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Comparation of statistical software for data analyze
Hybšová, Aneta ; Löster, Tomáš (advisor) ; Vrabec, Michal (referee)
This thesis deals with comparation of statistical software from regular user's point of view, evaluates various tools utilized by different applications, and offeres overall assessment of complexity of these statistical packages. The first theoretical part describes selected chapters of statistics; the second part compares following programs: SAS Learning Edition 4.1, SPSS 18 (PASW Statistics 18), StatXact 6, and Minitab 15. The comparison of systems is predominantly focused on formation of statistics and methods used, outputs, and user's interface provided by this software.
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Market Segmentation
Sobíšek, Lukáš ; Hebák, Petr (advisor) ; Průšová, Petra (referee)
The aim of my thesis is to verify efficiency of different statistical methods in segmentation analysis of marketing data. I decided to carry out my study on the organic food market. The theoretical part defines segmentation from the marketing point of view, followed with statistical insight into this topic. The theory is then applied to marketing study in practical part. Finally, concrete recommendations for organic food marketers, producers and distributors are offered, which could help them to increase their revenues and to acquire a bigger market share.
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Zjišťování skupin podobných proměnných v systémech SAS a SPSS
Marková, Monika ; Řezanková, Hana (advisor) ; Húsek, Dušan (referee)
My diploma thesis focuses on the comparison of possibilities of the statistical software SAS and SPSS in the area of the factor and cluster analysis and the multidimensional scaling. They deal with the methods for identifying groups of the similar statistical values (variables). The ascertained relations among the variables can serve to decrease the proportion vectors of the variables, which describe the individual monitored objects (statistical units), which helps us to apply other various methods, for example the regression or discriminant analysis. By one of the ways for finding the similarity of variables in the cluster analysis or the multidimensional scaling is searching for their relations. Whereas the base of the factor analysis is the formulation of the relation between two variables by means of the covariances, eventually Pearson correlation coefficient, it is possible to use also coefficients of correlation for the cluster analysis and the multidimensional scaling, in some case other measures. The thesis describes mainly the command syntax of the procedures implemented in SAS and SPSS. The meaning of the individual parametres and the partial specifications of each command are explained. The results gained by various types of analyses are compared on the basis of the real dataset. The possibilities of the statistical software SAS and SPSS are evaluated in the conclusion and it is referred to their advantages or disadvantages. The attention is also paid, for example, to the form of the input dataset, to the quaility of outputs or to the partial methods.
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