Introductory Statistics - JEB034

• Title: Introductory Statistics
• Czech title: Introductory Statistics
• Guaranteed by: Institute of Economic Studies (23-IES)
• Faculty: Faculty of Social Sciences
• Actual: from 2025
• Semester: summer
• E-Credits: 5
• Examination process: summer s.:written
• Hours per week, examination: summer s.:1/1, Ex [HT]
• Capacity: unlimited / 190 (unknown)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Note: course can be enrolled in outside the study plan; enabled for web enrollment; priority enrollment if the course is part of the study plan
• Guarantor: Mgr. Luboš Hanus, Ph.D.
• Teacher(s): Mgr. Luboš Hanus, Ph.D.; Mgr. Josef Kurka, Ph.D.; Ing. Kai Wang
• Class: Courses for incoming students
• Incompatibility : JEB142
• Is incompatible with: JEB142
• In complex pre-requisite: JEB105, JEB157

Annotation

English

Introductory course of probability theory and descriptive statistics which covers the basic notions needed for the course of statistics.

Last update: Hanus Luboš, Mgr., Ph.D. (01.02.2026)

Course completion requirements

Grading 2025/2026:

Assignments 30% of the grade:

• There will be three assignments for 30% of the grade in total.
• 2x assignment per 8%, TBA
• 1x project for 14%, TBA

Midterm test 20% of the grade:

• Midterm is scheduled for March 31, 2026, 12:30-13:50.
• Written exam.
• There will be no other option to re-take the midterm.

Final Exam 50% of the grade:

• 100-minute written test which is in person (no online) during the exam period.
• Terms to be announced no later than the end of March.

Exam dates (preliminary):

• Tuesday, May 19, 2026; 12:30
• Tuesday, May 26, 2026; 12:30
• Tuesday, June 2, 2026; 12:30
• Tuesday, June 16, 2026; 12:30
• Tuesday, June 23, 2026; 12:30
• Tuesday, June 30, 2026; 12:30

Grading system based on percents of the grade:

0-50 percents ... F ... insufficient (substantial extra work required)
51-60 percents ... E ... sufficient (satisfies minimum requirements)
61-70 percents ... D ... acceptable (with large number of major mistakes)
71-80 percents ... C ... good (solid with few major mistakes)
81-90 percents ... B ... very good (above average with some mistakes)
91-100 percents ... A ... excellent (with minor mistakes)

For a successful exam, it is additionally required to score at least 51% of the written test, i.e. obtain at least 25.5% of the grade or more from the written test.

Last update: Hanus Luboš, Mgr., Ph.D. (25.02.2026)

Syllabus

English

1. Introduction to statistics and probability theory
2. Descriptive statistics, graphical methods of data description
3. Experiments, sample spaces and events
4. Definitions and properties of probability
5. Counting
6. Conditional probability and independence of events
7. Sampling methods
8. Random variables, selected families of distributions
9. Expectations

Last update: Hanus Luboš, Mgr., Ph.D. (01.02.2026)