VŠTE:STA Statistics - Course Information
STA Statistics
Institute of Technology and Business in České BudějoviceSummer 2010
- Extent and Intensity
- 2/2. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Alexander Sandany (lecturer)
Mgr. Alexander Sandany (seminar tutor) - Guaranteed by
- doc. RNDr. Jaroslav Stuchlý, CSc.
Department of Civil Engineering – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Contact Person: Ing. Kamil Dedecius - Timetable of Seminar Groups
- STA/01: Thu 9:35–11:05 A1, A. Sandany
STA/02: Wed 16:25–17:55 D215, A. Sandany - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 80 student(s).
Current registration and enrolment status: enrolled: 0/80, only registered: 0/80 - fields of study / plans the course is directly associated with
- Business Administration and Management (programme VŠTE, EM)
- Course objectives supported by learning outcomes
- The subject deals with the basics of the statistical data analysis. Both the descriptive statistics and inference will be presented. In the beginning, the basics of combinatorics and the probability theory are introduced. Then the theory of random variable follows¨and its distribution, random vector and random choice, which are a prerequisite for the estimation theory and statistical testing. The rest of the course is focused on regression analysis. The recitations will take place in a computer lab.
- Syllabus
- basics of combinatorics
- basics of the probability theory
- probability theory, intuitive and axiomatic approach
- characteristics of random variables, cumulative and probability distribution functions
- random choice and its characteristics
- selected continuous and discrete distributions
- random vectors, their characteristics
- theory of estimation - introduction and properties
- point and interval estimates, their characteristics
- hypotheses testing
- hypotheses testing (cont.)
- regression analysis, least squares method
- basic regression models
- Literature
- Forms of Teaching
- Lecture
Exercise
Consultation - Teaching Methods
- Frontal Teaching
Individual Work– Individual or Individualized Activity
Exercise on computers using Excel and the R system
Lectures in Power-Point using hyperlinks
- Student Workload
Activities Number of Hours of Study Workload Daily Study Combined Study Preparation for the Mid-term Test 24 24 Preparation for Seminars, Exercises, Tutorial 26 68 Preparation for the Final Test 15 15 Elaboration of compulsory and voluntary exercises 13 13 Attendance on Lectures 26 Attendance on Seminars/Exercises/Tutorial/Excursion 26 10 Total: 130 130 - Assessment Methods and Assesment Rate
- Test – mid-term 15 %
Test – final 50 %
activity at seminars 5 %
a midterm test 2 15 %
a midterm test 3 15 % - Exam conditions
- For admission to the exam, the student has to gain at least 18 points from the total of 30 points of three tests. It is possible to evaluate the activity at seminars and the quality of elaborated individual exercises by 0-3 extra points. The students can write the reparative test during the exam period to get the admission to the exam (partial test - 10 points of final test - 30 points). The exam will be assessed on the basis of the computer test using IS (testing theoretical and application part) - 20 points. The evaluation will be done using the following table. A: 18,1 – 20 bodů, B: 16,1 - 18 points, C: 14,1 – 16 points, D: 12,1 – 14 points, E: 10,1 – 12 points, Fx: 5,1 – 10 points, F: 0 – 5 points
- Language of instruction
- Czech
- Further Comments
- The course is taught each semester.
- Enrolment Statistics (Summer 2010, recent)
- Permalink: https://is.vstecb.cz/course/vste/summer2010/STA