Course: Statistics

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Course title Statistics
Course code USE/PU421
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Boďa Martin, doc. PhDr. Ing. PhD.
  • Zdráhal Tomáš, doc. RNDr. CSc.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Field A. at al. Discovery statistics using R. Sage Publication, London, 2012. ISBN 978-1-446-200-469.
  • Hendl J. Přehled statistických metod zpracování dat. Portál, Praha, 2006. ISBN 80-7367123-9.
  • HINDLS, R. et al. Statistika v ekonomii. Praha: Professional Publishing, 2018.
  • Lind D. et al. Statistical techniques in business and economics. McGraw-Hill, Irwin, 2018. ISBN 978-1-2596-663-60.
  • MAREK, L. et al. Statistika v příkladech. 2. vyd.. Praha: Kamil Mařík & Professional Publishing, 2015.
  • McClave J.T., Benson P.G. Statistics for business and economics. Pearson Education, Harlow, 2017. ISBN 978-013-4506-593.
  • Meloun M., Militký J. Kompendium statistického zpracování dat. Univerzita Karlova, Praha, 2013. ISBN 978-013-4506-593.
  • Navarro D. Learning statistics wit R. University of New South Wales, 2018..
  • Newbold P. et al. Statistics for business and economics. Pearson Education, Harlow, 2019. ISBN 978-1-292-3150-34.
  • VERZANI, J. Using R for introductory statistics. Boca Raton (Florida): Chapman & Hall/CRC, 2005.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester