Course detail
Statistical Analysis of Data
CESA-SPSTAcad. year: 2023/2024
The course is focused on data statistical analysis including its theoretical (basic principles for statistical estimates and tests) and practical (design of experiments, one- and two-sample tests, correlation and regression analysis, and analysis of variance) aspects. Theory is discussed in direct connection with practical examples provided via commonly used software tools. This course prepares candidates for the sole use of statistical methods in their scientific or routine work.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
- 30 points can be obtained for activity in the PC exercises consisting in solving tasks (at least 15 points are required for further examination),
- 70 points can be obtained for the written exam (at least 35 points are required to pass the exam successfully).
The final exam is focused on understanding of statistical data analysis and various applications from area of interest.
Delimitation of controlled teaching and its procedures are specified by a regulation issued by the lecturer responsible for the course and updated for every year (see Rozvrhové jednotky).
Generally:
- obligatory computer-lab tutorial (missed labs must be properly excused and can be replaced after agreement with the teacher)
- voluntary lecture.
Aims
Candidates will get knowledge and skills from statistical data analysis area. He will be competent to apply it to solve the real tasks including study design, selection of appropriate statistical method and interpretation of test results.
During written examination, it is verified, whether the student is able to:
- discuss basic terms from statistical data analysis area and their relations
- describe basic methods in this area
- select and apply appropriate tools to solve the task
- interpret obtained results
- graphically present statistical data
- design study including data acquisition and analysis
Study aids
Prerequisites and corequisites
Basic literature
MELOUN, M., MILITKÝ, J.: Statistická analýza experimentálních dat. Academia, Praha 2004, ISBN 80-200-1254-0. (CS)
Recommended reading
McDONALD, J.H.: Handbook of biological statistics. 3rd ed. Sparky House Publishing, Baltimore, Maryland 2015. (CS)
Elearning
Classification of course in study plans
- Programme SPC-STC Bachelor's 2 year of study, summer semester, compulsory
Type of course unit
Computer-assisted exercise
Teacher / Lecturer
Elearning