# 714-0596/01 – Applied Statistics (AS)

 Gurantor department Department of Mathematics and Descriptive Geometry Credits 5 Subject guarantor doc. RNDr. František Staněk, Ph.D. Subject version guarantor doc. RNDr. František Staněk, Ph.D. Study level undergraduate or graduate Requirement Compulsory Year 2 Semester winter Study language Czech Year of introduction 1999/2000 Year of cancellation Intended for the faculties HGF Intended for study types Bachelor
Instruction secured by
STA22 doc. RNDr. František Staněk, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 6+6

### Subject aims expressed by acquired skills and competences

This course is dedicated to finding solutions of probabilistic and statistical problems. These problems can arise from other courses as well as from practice. The main emphasis lays in explanation of fundamental principles of probabilistic and statistical methods and of their general properties. The students learn how to decide which procedure is a suitable tool for solving a specific problem. The first part of the course deals with basic probabilistic notions and with the way in which to understand these notions from both theoretical and practical points of view. In the second part of the course the students learn the statistical way of thinking as a mean of understanding real-life processes. The basic methods of collecting and analysing statistical data are introduced. The students are taught how to use these general methods to solve the problems arising from other courses of their study and from practice. The students learn how to use existing software specialized for statistical computations, too.

Lectures
Tutorials

### Summary

The introductory course Applied Statistics deals with the basic problems of probability and statistics. It gives the base for ability to describe random processes by means of random variable and random vector. The course deals with the basic problems of descriptive statistics, methods of statistical inference, tests of hypotheses, analysis of variance, regression and correlation analysis and time series analysis for one- or multi-dimensional statistical set of data.

### Compulsory literature:

Briš, R.: PROBABILITY AND STATISTICS FOR ENGINEERS, Ostrava, VŠB - TU, 2011. (http://homel.vsb.cz/~bri10/)

### Recommended literature:

Barnett, V.: Environmental Statistics. Methods and Applications. Wiley, 2003. Hammer, R, Harper, D.: Paleontological Data Analysis. Malden, MA: Blackwell Pub, 2006. Meier, P. C., Zünd, R., E.: Statistical Methods in Analytical Chemistry. Wiley, 2000.

### E-learning

Active participation in seminars and successful completion of written tests.

### Prerequisities

Subject has no prerequisities.

### Co-requisities

Subject has no co-requisities.

### Subject syllabus:

Finding solutions of probabilistic and statistical problems. Explanation of fundamental principles of probabilistic and statistical methods. Basic probabilistic notions. Basic methods of collecting and analysing statistical data. Software specialized for statistical computations.

### Conditions for subject completion

Full-time form (validity from: 2014/2015 Winter semester)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
Credit Credit 33  17
Examination Examination 67  18
Mandatory attendence parzicipation:

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### Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2017/2018 (B2102) Mineral Raw Materials (3914R024) Landscape water management P Czech Ostrava 2 Compulsory study plan
2017/2018 (B2110) Geological Engineering (2101R003) Geological Engineering P Czech Ostrava 2 Compulsory study plan
2017/2018 (B2110) Geological Engineering (2101R003) Geological Engineering K Czech Ostrava 2 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3914R024) Landscape water management P Czech Ostrava 2 Compulsory study plan
2016/2017 (B2110) Geological Engineering (2101R003) Geological Engineering P Czech Ostrava 2 Compulsory study plan
2016/2017 (B2110) Geological Engineering (2101R003) Geological Engineering K Czech Ostrava 2 Compulsory study plan
2015/2016 (B2110) Geological Engineering (2101R003) Geological Engineering P Czech Ostrava 2 Compulsory study plan
2015/2016 (B2110) Geological Engineering (2101R003) Geological Engineering K Czech Ostrava 2 Compulsory study plan
2015/2016 (B2102) Mineral Raw Materials (3914R024) Landscape water management P Czech Ostrava 2 Compulsory study plan

### Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner