Course detail
Statistics 2
FP-stat2KAcad. year: 2023/2024
The course deals with main ideas and methods of point and interval estimates, the most used parametric and nonparametric tests, good fit tests, an analysis of variance, a categorial analysis, linear and nonlinear multiple regression models and time series analysis.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
Preparation of two semester assignments.
The exam is written.
In the first part, the student solves 4 examples in 80 minutes. In the second part of the exam, the student works out answers to 3 theoretical questions within 15 minutes.
The mark, corresponding to the total (max. 100 points), which consists of:
- the points for the semester assignments (max. 40 points),
- the results of the solved examples (max. 51 points),
- the quality of the answers to the theoretical questions (max. 9 points).
Grades and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
Aims
Students will be made familiar with the methods of mathematical statistics, regression analysis, and time series analysis and will learn how to use the respective methods when solving economics problems. After completion of this course students will be prepared to use these methods in economics courses.
Study aids
see Course literature.
Study materials available on e-learning.
Prerequisites and corequisites
Basic literature
Studijní materiály dostupné na e-learningu. (CS)
Recommended reading
GUJARATI, D. N. a PORTER, D.C. Basic econometrics. 5th ed. Boston: McGraw-Hill Irwin, 2009. ISBN 978-007-3375-779.
Elearning
Classification of course in study plans
- Programme MGR-UFRP-KS Master's 1 year of study, winter semester, compulsory
Type of course unit
Guided consultation in combined form of studies
Teacher / Lecturer
Syllabus
Consultation takes the form of personal meetings or through electronic communication.
Elearning