Course: Theory of Probability and Statistics 2

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Course title Theory of Probability and Statistics 2
Course code KMI/TPS2
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Houda Michal, Mgr. Ph.D.
  • Berková Ilona, Ing. Ph.D.
  • Rost Michael, doc. Ing. Ph.D.
  • Mrkvička Tomáš, prof. RNDr. Ph.D.
  • Fiala Jan, RNDr. et PhDr. Ph.D.
Course content
Contents of lectures: 1. Axiomatic definition of probability, 2. Conditional probability. Bayes equations. 3. Discrete and continuous random variables. 4. Two random variables, covariance and correlation. 5. Law of large numbers, central limit theorem. 6. Principles of statistical testing. F-test. Test about variance. 7. Test about mean value with CLT. 8. Theory of estimates. Confidence intervals. 9. Confidence interval with CLT. The size of samples with given length of interval. 10. ANOVA 1 factor. 11. ANOVA 2 factors. Chi - square tests. 12. Simple regression analysis. 13. Multivariate regression analysis.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Work with multi-media resources (texts, internet, IT technologies), Blended learning
  • Class attendance - 42 hours per semester
  • Preparation for exam - 12 hours per semester
  • Preparation for classes - 50 hours per semester
  • Preparation for credit - 8 hours per semester
Learning outcomes
A basic introductory course devoted to basic principles of data handling, statistical reasoning, and applications of data analysis.
Student undestands basic principals of probability theory and mathematical statistics
Prerequisites
Prerequisites: Theory of Probability and Statistics 1 Equivalence: Theory of Probability and Statistics 2
KMI/KPS1A
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KMI/KTPS1
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KMI/TPS1
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KMI/TPS1A

Assessment methods and criteria
Combined exam

Active participation is required in the exercises. During the semester, the student must pass two continuous tests. The student will receive a credit if he / she obtains at least 50 % on average for both continuous tests. In case of a lower score, the student can use one corrective test, which summarizes the curriculum from the whole semester. If a student obtains at least 65 % of the continuous tests on average, it is considered that the student has passed the written part of the exam. If a student obtains a credit with an average success rate of 50 to 65 % of continuous tests, he must also pass the written part of the exam, with a 50 % success rate. In both cases, the oral part of the exam follows.
Recommended literature
  • Freeman, J., Shoesmith, E., Sweeney, D., Anderson, D., Williams, T. Statistics for Business and Economics. Cengage, 2017.
  • Hindls, R. a kol. Statistika v ekonomii. Praha: Professional Publishing, 2018. ISBN 978-80-88260-09.
  • Mrkvička, T., Petrášková, V.:. Úvod do statistiky, Jihočeská univerzita, České Budějovice, 2006.
  • Mrkvička, T., Petrášková, V. Úvod do teorie pravděpodobnosti. České Budějovice, 2008.


Study plans that include the course
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Faculty: Faculty of Economics Study plan (Version): Accounting and Financial Management (4) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
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Faculty: Faculty of Economics Study plan (Version): Management of Commerce (4) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics Study plan (Version): Management of Commerce (4) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics Study plan (Version): Economic Informatics (4) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer