# 470-8726/02 – Statistics (STA AVAT)

 Gurantor department Department of Applied Mathematics Credits 4 Subject guarantor prof. Ing. Radim Briš, CSc. Subject version guarantor prof. Ing. Radim Briš, CSc. Study level undergraduate or graduate Requirement Compulsory Year 3 Semester winter Study language English Year of introduction 2019/2020 Year of cancellation Intended for the faculties USP, FS Intended for study types Bachelor
Instruction secured by
BRI10 prof. Ing. Radim Briš, CSc.
JAN939 Ing. Kateřina Janurová, Ph.D.
KRA0220 Ing. Jan Kracík, Ph.D.
LIT40 Ing. Martina Litschmannová, Ph.D.
SIM46 Mgr. Lenka Přibylová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 10+10

### Subject aims expressed by acquired skills and competences

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.

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

### Compulsory literature:

[1]BRIŠ, R.(2011), Probability and Statistics for Engineers, skripta, dostupné z: http://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf

### Recommended literature:

[1]Briš R., Škňouřilová P., STATISTICS I, 2007, Development Project no.391, electronic script. [2]Dummer R.M.; Introduction to Statistical Science, skriptum VŠB-TUO FEI, 1998, ISBN 80-7078-497-0

### Way of continuous check of knowledge in the course of semester

Průběžná kontrola studia: 2 kontrolní testy (max.20 bodů) Podmínky udělení zápočtu: Odevzdání semestrálního projektu a zisk minimálně 15 bodů.

### Other requirements

Semestral project (with max. 20 points)

### Prerequisities

Subject has no prerequisities.

### Co-requisities

Subject has no co-requisities.

### Subject syllabus:

Exploratory data analysis, types of variables, Exploratory analysis of single discrete and continuous 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 Central Limit Theorem. Point and interval estimation. Hypothesis testing, pure significance tests, p-values Two sample tests, paired difference tests.

### Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
Credit Credit 40  15
Examination Examination 60  18
Mandatory attendence parzicipation: Attending lectures is recommended.

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### Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (B0588A170002) Applied Sciences and Technologies P English Ostrava 3 Compulsory study plan
2020/2021 (B0588A170002) Applied Sciences and Technologies P English Ostrava 3 Compulsory study plan
2019/2020 (B0588A170002) Applied Sciences and Technologies P English Ostrava 3 Compulsory study plan

### Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner