STA Statistics

Institute of Technology and Business in České Budějovice
Winter 2009
Extent and Intensity
2/2. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Kamil Dedecius (lecturer)
Mgr. Alexander Sandany (seminar tutor)
Guaranteed by
Ing. Kamil Dedecius
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 8:00–9:30 D215, K. Dedecius
STA/02: Thu 9:35–11:05 D215, K. Dedecius
STA/03: Thu 11:25–12:55 D215, K. Dedecius
STA/04: Thu 13:15–14:45 D215, K. Dedecius
STA/05: Thu 8:00–9:30 D315, A. Sandany
STA/06: Thu 9:35–11:05 D315, A. Sandany
STA/07: Thu 14:50–16:20 A1, K. Dedecius
STA/08: Thu 16:25–17:55 A1, K. Dedecius
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 120 student(s).
Current registration and enrolment status: enrolled: 0/120, only registered: 0/120
fields of study / plans the course is directly associated with
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 follows the theory of random variable 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 and the theory of contingency tables. The recitations will take place in 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
  • contingency tables
Literature
  • Meloun, M., Militký, J. Kompendium statistického zpracování dat. Praha: Academia, 2002, 766 stran, ISBN 80-200-1008-4
  • Rektorys, K. et al., Přehled užité matematiky I. Prometheus, Praha, 2003, 7. vydání. ISBN 80-7196-179-5
  • Wikipedia - Portal:Mathematics
  • ANDĚL, Jiří. Statistické metody. 4., upr. vyd. Praha: Matfyzpress, 2007, 299 s. ISBN 978-80-7378-003-6. Obsah info
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
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for the Mid-term Test2424
Preparation for Seminars, Exercises, Tutorial2668
Preparation for the Final Test1515
Elaboration of compulsory and voluntary exercises1313
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion2610
Total:130130
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.
The course is also listed under the following terms Summer 2008, Winter 2008, Summer 2009, Summer 2010, Winter 2010, summer 2011, winter 2011, summer 2012, winter 2012, summer 2013, winter 2013, summer 2014, winter 2014, summer 2015, winter 2015, Summer 2016, winter 2016, summer 2017, winter 2017, summer 2018, winter 2018, summer 2019, winter 2019, summer 2020, winter 2020, summer 2021.
  • Enrolment Statistics (Winter 2009, recent)
  • Permalink: https://is.vstecb.cz/course/vste/winter2009/STA