Přístupnostní navigace
E-application
Search Search Close
Course detail
FP-stat2PAcad. 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
The course-unit credit is awarded on the following conditions (max. 40 points):- submitting answers to calculating problems and theoretical questions.The exam (max. 60 points)- has a written form.In the first part of the exam student solves 4 examples within 80 minutes. In the second part of the exam student works out answers to 3 theoretical questions within 15 minutes.The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:- points achieved in control tests, points achieved to calculating questions and theoretical questions,- points achieved by solving examples,- points achieved by answering theoretical questions.The grades and corresponding points:A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).Attendance at lectures is not compulsory but is recommended.
Aims
Study aids
see Course literature.Study materials available on e-learning.
Prerequisites and corequisites
Basic literature
Recommended literature
Elearning
Classification of course in study plans
Lecture
Teacher / Lecturer
Syllabus
Topics of lectures are the following:- Data samples.- Parameter and interval estimations.- Testing statistical hypothesis (Parametric and Nonparametric tests).- Analysis of variance (ANOVA).- Caterogical analysis.- Univariate regression models.- Multivariate regression models.- Nonlinear regression models.
-Logistic regression.- Time series analysis- Panel data.
Exercise
Exercise promote the practical knowledge of the subject presented in the lectures.