470-2404/04 – Introduction to Statistics (ZS)

Gurantor departmentDepartment of Applied MathematicsCredits2
Subject guarantorIng. Martina Litschmannová, Ph.D.Subject version guarantorIng. Martina Litschmannová, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semestersummer
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
KAB002 Ing. Pavla Hrušková, 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 0+2
Part-time Credit 0+8

Subject aims expressed by acquired skills and competences

This subject is an introductory course of statistics. The aim 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.

Teaching methods

Lectures
Tutorials
Project work

Summary

Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. This course will teach students the basic concepts used to describe data. With the knowledge gained in this course, students will be ready to undertake their first very own data analysis using the open source software R, which is rapidly becoming the leading programming language in statistics and data science.

Compulsory literature:

[1] CRAWLEY, Michael J. Statistics: an introduction using R. Chichester, West Sussex, England: J. Wiley, c2005. ISBN 978-0470022986 [2] StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com

Recommended literature:

[1] Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

Way of continuous check of knowledge in the course of semester

2 credit tests/tasks. Each test will consist of a practical and a theoretical part. The practical part will be unscored (pass/fail), the theoretical part will be scored 0-10 points. Total of 20 points (minimum required score in each test: practical part: pass, theoretical part: 4 points)

E-learning

Other requirements

For successful completion of the Discussions is given credit. Students will receive credit if they meet the required minimum of each of the sub-tasks.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Descriptive statistics of qualitative variable, i.e. frequency table, frequency graphs (bar and line graph) in MS Excel 2. Basics of working with R software (data matrices, data types, indexing, picking, mathematical and logical operators, loading files, loading files with missing values, ...) + Descriptive statistics of qualitative variables in R 3. Descriptive statistics of a quantitative variable (measures of position, measures of variability, measures of skewness and kurtosis, rounding of numerical characteristics, outliers and their identification, visualization (histogram, box plot)) 4. Descriptive statistics of a quantitative variable in MS Excel (2 exercises) 5. Descriptive statistics of a quantitative variable in R 6. Credit test 1 7. Descriptive statistics for the analysis of the dependence of two quantitative variables (correlation coefficients, scattergrams, introduction to linear regression) 8. Descriptive statistics for dependence analysis of two quantitative variables - MS Excel + R 9. Descriptive statistics for paired data in MS Excel + R 10. Descriptive time series analysis (measures of dynamics, moving averages, visualization) 11. Descriptive time series analysis in MS Excel + R 12. Credit test 2

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester, validity until: 2022/2023 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit Credit 40  20 1
Mandatory attendence participation: Participation at all exercises is obligatory, 2 apologies are accepted.

Show history

Conditions for subject completion and attendance at the exercises within ISP: Splnění všech povinných úkolů v individuálně dohodnutých termínech.

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (B0714A060019) Biomedical Assistive Technology P English Ostrava 2 Choice-compulsory type B study plan
2024/2025 (B0714A060020) Electrical Engineering P English Ostrava 2 Compulsory study plan
2024/2025 (B0714A150002) Control and Information Systems P English Ostrava 2 Compulsory study plan
2023/2024 (B0714A060020) Electrical Engineering P English Ostrava 2 Compulsory study plan
2023/2024 (B0714A150002) Control and Information Systems P English Ostrava 2 Compulsory study plan
2023/2024 (B0714A060019) Biomedical Assistive Technology P English Ostrava 2 Choice-compulsory type B study plan
2022/2023 (B0714A060019) Biomedical Assistive Technology P English Ostrava 2 Choice-compulsory type B study plan
2022/2023 (B0714A150002) Control and Information Systems P English Ostrava 2 Compulsory study plan
2022/2023 (B0714A060020) Electrical Engineering P English Ostrava 2 Compulsory study plan
2021/2022 (B0714A060019) Biomedical Assistive Technology P English Ostrava 2 Choice-compulsory type B study plan
2021/2022 (B0714A060020) Electrical Engineering P English Ostrava 2 Compulsory study plan
2021/2022 (B0714A150002) Control and Information Systems P English Ostrava 2 Compulsory study plan
2021/2022 (B0713A060006) Electrical Power Engineering P English Ostrava 2 Compulsory study plan
2021/2022 (B0714A060013) Applied Electronics P English Ostrava 2 Compulsory study plan
2020/2021 (B0714A150002) Control and Information Systems P English Ostrava 2 Compulsory study plan
2020/2021 (B0714A060019) Biomedical Assistive Technology P English Ostrava 2 Choice-compulsory type B study plan
2020/2021 (B0714A060013) Applied Electronics P English Ostrava 2 Compulsory study plan
2020/2021 (B0714A060009) Mobile Technology P English Ostrava 2 Compulsory study plan
2020/2021 (B0714A060011) Telecommunication Technology P English Ostrava 2 Compulsory study plan
2020/2021 (B0713A060006) Electrical Power Engineering P English Ostrava 2 Compulsory study plan
2020/2021 (B0713A060008) Automotive Electronic Systems P English Ostrava 1 Compulsory study plan
2020/2021 (B0714A060020) Electrical Engineering P English Ostrava 2 Compulsory study plan
2019/2020 (B0714A150002) Control and Information Systems P English Ostrava 2 Compulsory study plan
2019/2020 (B0714A060011) Telecommunication Technology P English Ostrava 2 Compulsory study plan
2019/2020 (B3973) Automotive Electronic Systems P English Ostrava 1 Compulsory study plan
2019/2020 (B0714A060009) Mobile Technology P English Ostrava 2 Compulsory study plan
2019/2020 (B0713A060006) Electrical Power Engineering P English Ostrava 2 Compulsory study plan
2019/2020 (B0714A060013) Applied Electronics P English Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.