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Course, academic year 2023/2024
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Introductory Statistics - JEB142
Title: Introductory Statistics
Czech title: Introductory Statistics
Guaranteed by: Institute of Economic Studies (23-IES)
Faculty: Faculty of Social Sciences
Actual: from 2018
Semester: summer
E-Credits: 3
Examination process: summer s.:written
Hours per week, examination: summer s.:1/1, Ex [HT]
Capacity: 185 / 175 (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
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: RNDr. Michal Červinka, Ph.D.
Teacher(s): Levan Bezhanishvili, M.Sc.
RNDr. Michal Červinka, Ph.D.
Alessandro Chiari
Hieu Nguyen Thi Hoang, M.A.
Mgr. Ing. Šarlota Smutná, M.Sc.
Class: Courses for LLEP
Courses for incoming students
Incompatibility : JEB132
Is pre-requisite for: JEB157, JEB105
Annotation -
Last update: RNDr. Michal Červinka, Ph.D. (25.09.2019)
Introductory course of probability theory and descriptive statistics which covers the basic notions needed for the course of statistics.
Course completion requirements
Last update: RNDr. Michal Červinka, Ph.D. (28.04.2024)

Grading 2023/24:

Two homeworks: HW1 for 15% of the grade, HW2 for 10% of the grade (HW1 will be assigned on TBA; HW2 will be assigned on TBA)

Written test: 80-minute test for 60% of the grade.

Oral examination: 15% of the grade

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 30.5% of the grade or more from the written test.

For a successful exam, it is additionally required to score at least 51% of the pral examination, i.e. obtain at least 8% of the grade or more from the oral examination.

Exam dates:

test date May 20th with orals on May 22nd or May 23rd or May 24th (capacity 75)

test date May 27th with oral on May 29th or May 30th or May 31st (capacity 75)

test date June 4th with orals on June 6th or June 7th (capacity 50)

test date June 18th with orals only on June 20th (capacity 25)

test date September 2nd with orals on September 4th or September 5th (capacity 50)

Oral examination details:


Oral discussion will have the following progress:

  • Discussion about the grading of the written test (regardless of the score). If the discussion reaches 10 minutes, another individual meeting will be scheduled.

The additional parts will be available only to students who score at least 51% of the written test

  • Two questions will be assigned to students. This includes definitions or formulations of some results covered in the classes. Student will be given up to 10 minutes to prepare notes for both questions. Student can use only these notes during the discussion. Each question will take up to 5 minutes to discuss and students can gain up to 5% of the grade for each.
  • Finally, a random additional question will be assigned. This includes topics included in the written test or during the previous part of the oral exam which may link to previous discussion only vaguely. The question will invoke either some composition of covered results, which itself was not explicitly mentioned or a question which extends slightly the covered topic and yet the students should have all ingredience available for providing a correct answer. Student could take up to 60  minutes to prepare the answer and will be given just one chance of presenting the answer. Students can gain up to 5% of the grade from this part.

Students will be scheduled with approximately in 15 minutes long intervals.

Syllabus -
Last update: RNDr. Michal Červinka, Ph.D. (25.09.2019)

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

 
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