|
|
Aanalys of Sorting of Municipal Waste in the Municipalities of the Holešovsko Micro-region
Cahlíková, Markéta ; Hasman, Jiří (advisor) ; Kabrda, Jan (referee)
Sorting of municipal waste is considered to be a significant possibility for everyone to participate in more effective waste treatment, which helps to protect the environment. The main goal of this study is to find out which factors influence human decisions in the question of sorting or not-sorting waste. The analysis on the national level and in mikroregion Holešovsko was made with the purpose to achieve this goal. The results show the importance of several factors, the most important one being the level of achieved education. Other factors , which were found signifacant at least for one type of sorted waste, are the accessibility of containers, age 45-64, voting for Green party and longtitude of residence. The relative amount of sorted municipal waste in mikroregion Holešovsko is smaller than the average for the whole region Zlín. This fact may be partly explained by the differencies in sociodemographic structure.
|
|
| |
|
| |
|
|
The Use of Statistical Methods for Financial Performance Analysis in Selected Company
Macela, Erik ; Kákoš, Juraj (referee) ; Novotná, Veronika (advisor)
Bachelor’s thesis deals with financial performance analysis of selected company. In the first part, selected economical indicators are being described, simultaneously with the method of calculation and methods used for statistics. The theoretical part is smoothly followed by analytic part which contains calculations of indicators. Those indicators are subsequently used by regression analysis and time series. Last part is focused on the evaluation of present financial situation and on proposal recommendation.
|
|
| |
|
|
Assessing Selected Indicators Using Statistical Methods
Švestka, Milan ; Havlíčková, Marie (referee) ; Doubravský, Karel (advisor)
Bachelor thesis focuses on the evaluation of the situation XYZ, using selected financial indicators and statistical methods representing the regression analysis and time series for the period 2011 to 2016. The thesis consists of three parts, where the first part is focused on the theoretical basis and describes individual selected financial indicators, regression analysis and time series. The next part describes the current state of the company and provides an overwiev of the financial situation of the company and outlines possible future developments. The last part constains suggestions of improvements and recommendations that the company should keep.
|
|
|
Analysis of Economic Indicators Using Statistical Methods
Konečný, Martin ; Bělohoubek, Petr (referee) ; Novotná, Veronika (advisor)
The bachelor thesis is focused on analysis of economic indicators using statistical methods. The thesis consists of theoretical and practical part. The theoretical part describes various methods and methods of financial analysis. In the practical part is created an analysis of economic indicators, which reveals the weaknesses and strengths of company. Based on the calculations, was determined a prediction for the following years. The design part contains recommendations for the company and an important part is also the application designed in Microsoft Office Excel.
|
|
| |
|
|
Assessing Selected Indicators Using Statistical Methods
Lovas, Jakub ; Hájek, Michal (referee) ; Doubravský, Karel (advisor)
The bachelor thesis deals with the assessment of selected indicators of SAKO Brno a.s. using statistical methods. Theoretical starting points describing selected indicators and statistical methods are presented in the first part of thesis. The practical part contains the calculations of the individual indicators for the period from 2009 to 2015, which are necessary for the development of own solutions proposals. The bachelor thesis also includes a simple application created in Microsoft Office Excel 2016.
|
|
|
Phillips Curve in Conditions of the Czech Republic
Musilová, Simona ; Půža, Bedřich (referee) ; Novotná, Veronika (advisor)
The bachelor’s thesis is focused on the Phillips curve in conditions of the Czech economics. Validity of the substitution relationship between the rate of inflation and the unemployment rate is testing by regression analysis on real data of the Czech Republic during years 1996–2016. In order to better explain variability of the dependent variable, the model is expanded by inflation expectations, which corresponds to the development of the economic theory of the Phillips curve. After that the Phillips curve for the Czech Republic is constructed in Maple using the systems of differential equations.
|
guest ::
