Shiny application for modernizing the teaching of hypothesis testing

Courses in mathematical statistics and probability theory pose a significant challenge for students in economic fields at universities, primarily due to the higher level of abstraction and the necessity to understand the connections between concepts. This complexity can lead to a lack of understanding of key principles, making further study difficult, as illustrated by the author's experience with hypothesis testing. The Faculty of Informatics and Statistics at the University of Economics in Prague responds to these challenges by creating new interactive applications using the Shiny package in R. These applications aim to facilitate students' understanding of basic concepts and procedures in the areas of probability theory and statistics. In the past, simple simulation Java applets were used, but today more sophisticated tools are being developed using technologies such as JavaScript, CSS, and HTML5. The R programming language, together with the Shiny package, is a key tool for developing these applications due to its easy extensibility and minimal requirements for web development knowledge. The bachelor thesis focuses on the development of a web application for studying hypothesis testing, which should help not only educators and students but also the general public better understand this topic through the application. An additional goal of the thesis is to describe the concept of hypothesis testing and its historical development.