Statistics at undergraduate level - descriptive statistics, interval estimation, principles of hypothesis testing.

PC user skills - working with data in a spreadsheet, ability to use application software, searching and downloading data from publicly available sources

Credit will be awarded for attendance at the exercises (at least 80%) and credit work (at least 60% of the points).
Examples will consist of the correct application of the specified method to the specified data and Interpretation of the results.

The examination will consist of a comprehensive analysis of the assigned data followed by an oral examination during which the student will defend his/her chosen methods and interpret the results.

Assessment:
A 90%-100%
B 80%-89%
C 70%-79%
D 60%-69%
E 50%-59%
F 0%-49%

The aim of the course is to teach students how to effectively apply quantitative methods in practice using available computer technology. In doing so, it is expected to complement the theoretical foundations with modern numerical methods.
After studying the course, the student will be able to
-correctly formulate a statistical problem
-determine the appropriate analytical methods of solution
-obtain a solution using one of the procedures available in MS Excel or one of the statistical programs
-use the obtained result in practice

https://moodle.vut.cz/course/view.php?id=285756

• Programme MGR-IM Master's 2 year of study, winter semester, compulsory-optional