Martina Zámková

Identification of factors affecting the aircraft delay in popular Greek destinations

The main goal of this article is to identify the factors influencing flight delays from popular Greek destinations – Kos, Chania, Corfu, Rhodes, Heraklion, and Zakynthos. An airline operating in European region was monitored. Factors were analysed by contingency tables analysis and correspondence analysis. Unique data were gained from airline’s database and contained information about various reasons of delay. The high season of years 2008-2014 was monitored. It was proved from the analysis that the most frequent delay occurs in Zakynthos. The least delays appear at the Kos airport. Big differences of delay frequencies among monitored airports are evident in the evening. Delay caused by the delayed preceding flight is the most frequent delay reason. Delays caused by the airlines and suppliers originate the least often. Delays caused by the problems at the airport and in air traffic control occur the most frequently in case of very short delays up to 15 minutes. Delayed preceding flights cause mainly longer delays at monitored airports.The main goal of this article is to identify the factors influencing flight delays from popular Greek destinations – Kos, Chania, Corfu, Rhodes, Heraklion, and Zakynthos. An airline operating in European region was monitored. Factors were analysed by contingency tables analysis and correspondence analysis. Unique data were gained from airline’s database and contained information about various reasons of delay. The high season of years 2008-2014 was monitored. It was proved from the analysis that the most frequent delay occurs in Zakynthos. The least delays appear at the Kos airport. Big differences of delay frequencies among monitored airports are evident in the evening. Delay caused by the delayed preceding flight is the most frequent delay reason. Delays caused by the airlines and suppliers originate the least often. Delays caused by the problems at the airport and in air traffic control occur the most frequently in case of very short delays up to 15 minutes. Delayed preceding flights cause mainly longe...

THE FACTORS INFLUENCING THE MATHEMATICS EXAM SUCCESS RATE IN THE STUDY PROGRAMMES TAUGHT AT THE COLLEGE OF POLYTECHNICS JIHLAVA (2006–2015)

This paper addresses the exam success rates in Mathematics 1 at the College of Polytechnics in Jihlava (CPJ). Primary data taken from the school information system cover the years 2006–2015. We carried out a success rate analysis based on several criteria (form of study, the reason for termination of studies, gender). We observed the dependence of the success rate on the aforementioned criteria and time. Plus a detailed analysis of the success rate with respect to the study programme was conducted. The contingency tables analysis and correspondence analysis were used to assess the dependencies. The research showed that the success rate in Mathematics 1 has been decreasing over the course of the monitored period of time. The success rate of full-time students is higher compared to the part-time students. Women have higher success rate than men. The respective study programmes showed equivalent results. Technical study programmes show lower success rate in mathematics. The research furthermore implies that mathematics may not always be the cause of a complete termination of studies. To reverse the trend of the growing failure rate we introduced an entrance test of high school basic mathematics followed by a course for those who fail at this test. As a part of our currently running project, our school have been innovating the e-learning modules and working on the textbooks for Seminar in Mathematics that may be completed in a form of an intensive summer or winter school in mathematics. This project’s objective is an overall improvement of students’ mathematical knowledge and skills.

Identification of factors affecting birth rate in Czech Republic

This article is concerned with identifying economic factors primarily that affect birth rates in Czech Republic. To find the relationship between the magnitudes, we used the multivariate regression analysis and for modeling, we used a time series of annual values (1994-2011) both economic indicators and indicators related to demographics. Due to potential problems with apparent dependence we first cleansed all series obtained from the Czech Statistical Office using first differences. It is clear from the final model that meets all assumptions that there is a positive correlation between birth rates and the financial situation of households. We described the financial situation of households by GDP per capita, gross wages and consumer price index. As expected a positive correlation was proved for GDP per capita and gross wages and negative dependence was proved for the consumer price index. In addition to these economic variables in the model there were used also demographic characteristics of the workforce and the number of employed people. It can be stated that if the Czech Republic wants to support an increase in the birth rate, it is necessary to consider the financial support for households with small children.