470-4401/01 – Statistics (STA)

Gurantor departmentDepartment of Applied MathematicsCredits6
Subject guarantorIng. Martina Litschmannová, Ph.D.Subject version guarantorIng. Martina Litschmannová, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year1Semestersummer
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master, Bachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
BEL188 Ing. Michal Běloch
GRU100 Ing. Ondřej Grunt, Ph.D.
JAN939 Ing. Kateřina Janurová, Ph.D.
KRA0220 Ing. Jan Kracík, Ph.D.
LIT40 Ing. Martina Litschmannová, Ph.D.
MIK0063 Ing. Žaneta Miklová
SIM46 Mgr. Lenka Přibylová
RAP027 Ing. Lukáš Rapant, Ph.D.
SKO294 Ing. Robert Skopal
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+2
Combined Credit and Examination 10+10

Subject aims expressed by acquired skills and competences

This is an introductory course in statistics. The course will emphasize methods of applied statistics and data analysis.

Teaching methods

Lectures
Tutorials
Project work

Summary

This is an introductory course in statistics. The course will emphasize methods of applied statistics and data analysis. Theoretical considerations will be included to the extent that knowledge of theory is necessary for a sound understanding of methods and contributes to the development of data analysis skills and the ability to interpret results of statistical analysis. The objective of the course is to develop sufficient knowledge of statistical tools and procedures, understanding of the underlying theory on which the procedures are based, and facility in the application of statistical tools to enable the student to incorporate sound statistical methodology into other areas of his or her own work.

Compulsory literature:

Briš, R. (2011), Probability and Statistics for Engineers, VŠB-TU Ostrava, WEB: http://homel.vsb.cz/~bri10/Teaching/Bris%20Prob%20&%20Stat.pdf Dummer, R.M. (1998), Introduction to Statistical Science, VŠB-TU Ostrava, ISBN 80-7078-497-0

Recommended literature:

StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com HILL, T. & LEWICKI, P. (2007). STATISTICS: Methods and Applications. StatSoft, Tulsa, OK.

Way of continuous check of knowledge in the course of semester

Presence form: - 10 short tests during the semester per 2 points, 20 points overall (minimum required: 6 points) - Semester project, max 20 points (minimum required: 10 points) Combined form: - 2 projects during the semester per 5 points, for a total maximum of 10 points (minimum required: 1 point for each homework) - Test with a maximum of 10 points (minimum required: 1 point) - Semester project, max 20 points (minimum required: 10 points) Terms of the credit: For partial credit hour job can get a maximum of 40 points. For successful completion of the exercise is given credit, students will receive if they meet the required minimum of each of the sub-tasks and compensatory gain at least 20 points . - 10 short tests in the course of semester per 2 points (max.) - Semestral project (with max. 20 points)

E-learning

Další požadavky na studenta

During exercise, students are continually assessed and you can get up to 40 points. For successful completion of the exercise is given credit, the student will receive if you surrender the settled term project and will be at least 20 points.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Getting to know the contents of the course, Introduction to probability theory 2. Random variable 3. Random vector 4. Probability models for discrete random variables 5. Probability models for continous random variables 6. Statistical survey and exploratory analysis 7. Sample characteristics, Introduction to estimation theory 8. Hypothesis testing - principle 9. One-sample parametric tests of hypotheses 10. Goodness of Fit tests 11. Tests for comparing more than two variances, ANOVA, Kruskal-Wallis test, methods of post hoc analysis for ANOVA and Kruskal-Wallis test 12. Analysis of the independence (introduction to correlation analysis, analysis of the independence of two categorical variables, measures of contingency, measures of association) 13. Introduction to regression analysis Exercises: 1. Combinatorics, Classical probability 2. Probability Theory 3. Random variable 4. Random vector 5. Discrete random variable 6. Continuous random variable 7. Limit theorems, special continuous distributions 8. Exploratory statistics 9. Estimates of population parameters 10. Hypothesis testing I 11. Hypothesis testing II 12. ANOVA, Kruskal-Wallis test 13. Introduction to Regression Analysis 14. Presentation of the Project For computer labs are provided two software products in the English language: Statgraphics v. 5.0 and MS Excel. Term project: The project is a record of data-generation process in which the student-applicant process applies the theoretical knowledge, practiced with the help of available software. Students may choose the topic of the project environment, which is close to him. In the project, the student must demonstrate the ability to correctly demonstrate and interpret data record related to the topic and ability to perform in accordance with the objective of the project one of the methods of statistical induction (eg, decision-making through the test, study the dependencies between variables, the design point and interval estimates of unknown parameters of probabilistic distribution, etc.)

Conditions for subject completion

Combined form (validity from: 2011/2012 Summer semester, validity until: 2011/2012 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 30  15
        Examination Examination 70  0
Mandatory attendence parzicipation:

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Occurrence in study plans

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2014/2015 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology P Czech Ostrava 1 Compulsory study plan
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2014/2015 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology K Czech Ostrava 1 Compulsory study plan
2014/2015 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Compulsory study plan
2014/2015 (N2647) Information and Communication Technology (2612T059) Mobile Technology K Czech Ostrava 1 Compulsory study plan
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2013/2014 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology P Czech Ostrava 1 Compulsory study plan
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2012/2013 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Choice-compulsory study plan
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2012/2013 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology P Czech Ostrava 1 Compulsory study plan
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2012/2013 (N2647) Information and Communication Technology (2612T059) Mobile Technology P Czech Ostrava 1 Compulsory study plan
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2011/2012 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology P Czech Ostrava 1 Compulsory study plan
2011/2012 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology K Czech Ostrava 1 Compulsory study plan
2011/2012 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Compulsory study plan
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2011/2012 (N2647) Information and Communication Technology (2612T059) Mobile Technology P Czech Ostrava 1 Compulsory study plan
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2011/2012 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Choice-compulsory study plan
2011/2012 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Choice-compulsory study plan
2010/2011 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Choice-compulsory study plan
2010/2011 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Choice-compulsory study plan
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2010/2011 (N2647) Information and Communication Technology (2601T013) Telecommunication Technology K Czech Ostrava 1 Compulsory study plan
2010/2011 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Compulsory study plan
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2010/2011 (N2647) Information and Communication Technology (2612T059) Mobile Technology P Czech Ostrava 1 Compulsory study plan
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Occurrence in special blocks

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