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Course, academic year 2025/2026
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Statistics - JEB105
Title: Statistics
Guaranteed by: Institute of Economic Studies (23-IES)
Faculty: Faculty of Social Sciences
Actual: from 2025
Semester: winter
E-Credits: 7
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, Ex [HT]
Capacity: 170 / 170 (185)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Additional information: http://ies.fsv.cuni.cz/cs/syllab/JEB105
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. Matěj Kořínek, MSc.
Mgr. Josef Kurka, Ph.D.
Class: Courses for incoming students
Pre-requisite : {Group of pre-requisites for JEB105 (Introductory Statistics)}, {Group of pre-requisites for JEB105 (Matematika II or Mathematics II)}
Is pre-requisite for: JEB109, JEB035
Annotation -
Follow-up course to Introductory Statistics (JEB132 or JEB142) on probability theory and statistics, covering the basic notions needed for the course of econometrics.
Last update: Hanus Luboš, Mgr., Ph.D. (15.09.2025)
Descriptors -

The following information is valid for academic year 2025/26 (updated slides shall appear soon) 

Lectures (1x per week):

Mondays 9:30 am in lecture hall "Michal Mejstrik" O109

There will be altogether 12 lectures. Lectures will not be streamed online.

Exercise classes (1x per week):

  • Group 1: Mondays 11:00 am in lecture hall O314, capacity cap 60
  • Group 2: Mondays 15:30 pm in lecture hall O314, capacity cap 50
  • Group 3: Tuesdays 9:30 am in lecture hall O109, capacity cap 50

Midterm: November 24th

Exam Dates: will be announced

Instruction for signing up for the exercise classes: 
Please select your favourite time-slot and teaching assistant and sign up for a particular class in the Student Information System when signing up of the course. Please note there are limits of available seats set for each group of exercise class.

Information for international students visiting IES:
Please consider registration to this subject. From the experience in previous years many international students did not have good enough prior knowledge of mathematics to follow and pass this course. Registration without intention of passing the subject is not allowed.

Last update: Hanus Luboš, Mgr., Ph.D. (28.01.2026)
Course completion requirements -

Grading 2025/26: 

There is altogether 100 points available. Offering bonus points is illegal at any subject at FSV UK.

midterm test: 20 points

homeworks (5 x): altogether 20 points

For each homework assignment only two pre-selected problems will be subject to grading. Full solutions to all problems shall be uploaded in SIS. Students can gain partial point award based on proportion of the correct answers within the pre-selected problems graded.

Point award from one homework with lowest score can be replaced by extra homeassignment/project in January 2026.

written exam: 60 points

Minimum requirement from the written exam is 30.5 points (stricly more than 50% of the written exam). Gaining less will result in grade F regardless of the total sum including HWs, midterm and final.

Grading system based on percents of the grade (non-integer values are rounded up) 

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

Credit load 7 ECTS equivalent to 175+ hours of student work:

  • participation lecture time including online videos - 16 hours
  • participation seminar time - 16 hours
  • time anticipated for work on homeassignments - 5x12 hours
  • time anticipated for midterm preparation - 20 hours
  • time anticipated for exam preparation - 60 hours
  • exam - 3 hours
  • time anticipated for additional home study and reading during the semester - 15 hours
Last update: Hanus Luboš, Mgr., Ph.D. (15.09.2025)
Literature -

Mandatory:

BARTOSZYŃSKI, R. and NIEWIADOMSKA-BUGAJ, M. Probability and Statistical Inference. 3rd edition, Wiley, 2021.

RAMACHANDRAN, K.M., TSOKOS, Ch.P. Mathematical Statistics with Applications in R, 3rd edition, Elsevier, 2020.

Recommended:

ANDERSON D.R., SWEENEY, D.J., WILLIAMS, T.A., CAMM J.D., COCHRAN J.J., Statistics for Business and Economics. 14th edition, Cengage Learning, 2019.

HANSEN, B., Probability and statistics for economists. Princeton University Press, 2022.

SUHOV, Y., KELBERT, M. Probability and Statistics by Example, volume 1, 2nd edition, Cambridge University Press, 2014.

MITTELHAMMER, R.C. Mathematical Statistics for Economics and Business. 2nd edition, Springer, New York, 2013.

Last update: Hanus Luboš, Mgr., Ph.D. (15.09.2025)
Requirements to the exam -

Grading 2025/26: 

There is altogether 100 points available. Offering bonus points is illegal at any subject at FSV UK.

midterm test: 20 points

homeworks (5 x): altogether 20 points

For each homework assignment only two pre-selected problems will be subject to grading. Full solutions to all problems shall be uploaded in SIS. Students can gain partial point award based on proportion of the correct answers within the pre-selected problems graded.

Point award from one homework with lowest score can be replaced by extra homeassignment/project in January 2026.

written exam: 60 points

Minimum requirement from the written exam is 30.5 points (stricly more than 50% of the written exam). Gaining less will result in grade F regardless of the total sum including HWs, midterm and final.

Grading system based on percents of the grade (non-integer values are rounded up) 

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

Credit load 7 ECTS equivalent to 175+ hours of student work:

  • participation lecture time including online videos - 16 hours
  • participation seminar time - 16 hours
  • time anticipated for work on homeassignments - 5x12 hours
  • time anticipated for midterm preparation - 20 hours
  • time anticipated for exam preparation - 60 hours
  • exam - 3 hours
  • time anticipated for additional home study and reading during the semester - 15 hours
Last update: Hanus Luboš, Mgr., Ph.D. (15.09.2025)
Syllabus -

1. Introduction

2. Random Variables (W1+W2)

3. Multivariate Distributions and Transformations (W3)

4. Expectations (W4)

5. Conditional Distributions and Expectation (W5)

6. Selected Families of Distributions (W6)

-- Midterm (W7)

7. Random Samples (W8)

8. Point Estimation (W9)

9. Interval Estimation (W10)

10. Testing Statistical Hypotheses (W11)

Last update: Hanus Luboš, Mgr., Ph.D. (02.12.2025)
 
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