470-6403/02 – Basic Methods of Statistical Data Analysis in Practice (SMIP)

Gurantor departmentDepartment of Applied MathematicsCredits10
Subject guarantorprof. Ing. Radim Briš, CSc.Subject version guarantorprof. Ing. Radim Briš, CSc.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFAST, HGF, FS, FEI, FMT, USPIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
BRI10 prof. Ing. Radim Briš, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Combined Examination 28+0

Subject aims expressed by acquired skills and competences

The objective of the course is to develop sufficient knowledge of statistical tools and procedures in applied engineering fields.

Teaching methods

Lectures
Project work

Summary

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., Probability and Statistics for Engineers, 2011, electronics script, Project CZ.1.07/2.2.00/15.0132. Dostupné z http://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf Dummer R.M.; Introduction to Statistical Science, script of VŠB-TUO FEI, 1998, ISBN 80-7078-497-0 James.L.Johnson; Probability and Statistics for Computer Science, Wiley 2003, ISBN 0-471-32672-0

Recommended literature:

Briš R., Probability and Statistics for Engineers, 2011, electronics script, Project CZ.1.07/2.2.00/15.0132. Dostupné z http://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf

Way of continuous check of knowledge in the course of semester

Lectures. Consultancy to semestral project.

E-learning

http://www.am.vsb.cz/bris/Teaching/SMIP_PhD.rar

Další požadavky na studenta

There are not defined other requirements for student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: Exploratory data analysis, types of variables, summarization of distributions. Probability theory. Random variable and probability distribution, expected value operator and moments of probability distribution, joint and conditional distributions. Probability models for discrete and continuous random variables. Sampling distributions of the mean, distribution of sample proportion. Point and interval estimation, hypothesis testing, pure significance tests, p-values Two sample tests, paired difference tests. One factor analysis of variance, ANOVA table, multiple comparisons, post hoc analysis. Simple linear regression model. Multiple regression models.

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

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Occurrence in special blocks

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