Course detail
Probability Statistics
FP-PRSAcad. year: 2012/2013
The fundamentals of probability theory, random events, random variables, random vectors, decision-making under risk, analysis of indicies.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
- participation in seminars,
- passing control tests,
- submitting answers to calculating problems and theoretical questions.
EXAM: The exam has a written form.
In the first part of the exam student solves 4 examples within 70-80 minutes. (It is allowed to use recomended literature.)
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 (89-83), C (82-76), D (75-69), E (68-60), F (59-0).
Course curriculum
Work placements
Aims
They will be able to study economic topics working with uncertainty, and to solve the problems related to these topics applying the methods of this theory.
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
KROPÁČ, J. Statistika A. 4. vyd. Brno: FP VUT, 2011. ISBN 978-80-214-4226-9. (CS)
Recommended reading
WONNACOT, T. H., WONNACOT, R. J. Statistika pro obchod a hospodářství. Praha : Victoria Publishing, 1993. ISBN 80-85605-09-0. (CS)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Classical definition of probability.
- Conditioned probability.
- Formula of total probability.
- Random variables.
- Discrete random variables.
- Special types of discrete random variables.
- Continuous random variables.
- Special types of continuous random variables.
- Discrete random vectors.
- Discrete random vectors.
- Composition index numbers.
- Aggregate index numbers.
- Decision-making on the risk.
Exercise
Teacher / Lecturer
Syllabus