Lecturer(s)
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Dongresová Eva, Ing. Ph.D.
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Gašpařík Adam, doc. RNDr. Ph.D.
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Nováková Veronika, Ing. Ph.D.
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Průchová Jana, Ing. Ph.D.
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Tříska Vladimír, Ing.
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Štěpánková Andrea, Ing. Ph.D.
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Course content
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Introduction to statistics. Descriptive statistics. Probability. Random variable. Special distribution of random variable. Multidimensional random variable. Central limit theorem. Random sampling. Point estimation. Interval estimation. Indexes. Used SW: Excel, Statistica, Mathematica. Additional information for students of so-called combined study form is available in Courseware.
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Learning activities and teaching methods
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Lecture with practical applications, Lecture, Practicum
- Preparation for comprehensive test (10-40)
- 24 hours per semester
- Contact hours
- 52 hours per semester
- Preparation for an examination (30-60)
- 30 hours per semester
- unspecified
- 50 hours per semester
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prerequisite |
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Knowledge |
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explain the concepts of function of one variable. |
explain the principle of derivation and integral. |
explain the principle of calculation of variation, permutation and combination. |
Skills |
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modify algebraic expression. |
solve combinatorics tasks, use variations, permutations and combinations. |
derivate and integrate function. |
process basics in MS Excel. |
assemble and create function in MS Excel. |
Competences |
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N/A |
N/A |
N/A |
N/A |
learning outcomes |
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Knowledge |
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explain basics of probability and Bayes probability. |
explain basic concepts of statistics and the methods of data gathering. |
use descriptive characteristics of population and sample file. |
explain basic concepts of random variable. |
describe selected distributions of random variable and normal distribution. |
apply Law of large numbers and Central limit theorem. |
calculate point and interval estimation of population parameters. |
Skills |
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select suitable method for sample file creation |
calculate characteristics of statistics file. |
determine probability of simple events and probability of combination of events. |
describe random variable using distribution and calculate moments of random variable. |
select suitable distribution of random variable and use it for solution of practical problems. |
use normal and stnadard normal distribution, quantils and table values of distribution function. |
apply consequences of Central limit theorem for solution of selected probloems. |
estimate parameters of population using point estimation, construct interval estimation of these parematers. |
Competences |
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N/A |
teaching methods |
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Knowledge |
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Lecture |
Practicum |
Interactive lecture |
E-learning |
Self-study of literature |
Skills |
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Lecture with visual aids |
Practicum |
E-learning |
Competences |
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Interactive lecture |
E-learning |
Individual study |
assessment methods |
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Knowledge |
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Combined exam |
Skills |
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Skills demonstration during practicum |
Test |
Practical exam |
Competences |
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Practical exam |
Test |
Skills demonstration during practicum |
Recommended literature
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Allan G. Bluman. Elementary Statistics: A Step By Step Approach. McGraw-Hill, 2017. ISBN 978-1-259-75533.
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ARLTOVÁ, M. Sbírka příkladů ze statistiky : (Statistika A). Praha : Vysoká škola ekonomická, 1999. ISBN 80-7079-727-4.
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Cyhelský, Lubomír; Hustopecký, Jiří; Závodský, Prokop. Příklady k základům statistiky. 1. vyd. Praha : SNTL, 1988.
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Hendl, Jan. Přehled statistických metod : analýza a metaanalýza dat. 3., přeprac. vyd. Praha : Portál, 2009. ISBN 978-80-7367-482-3.
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Hindls, Richard. Statistika pro ekonomy. Praha : Professional Publishing, 2006. ISBN 80-86946-16-9.
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Hossein Pishro-Nik. Introduction to Probability, Statistics, and Random Processes. Kappa Research, 2014. ISBN 978-0-9906372-0.
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Jarošová, Eva; Pecáková, Iva. Příklady k předmětu Statistika B. 2. vyd. Praha : Oeconomica, 2005. ISBN 80-245-0680-7.
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Kateřina Mičudová, Mikuláš Gangur, Milan Svoboda, Pavla Říhová. Základy statistiky a pravděpodobnosti. Západočeská univerzita v Plzni, 2016. ISBN 978-80-261-0660-9.
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Marek, Luboš. Statistika pro ekonomy : aplikace. 2. vyd. Praha : Professional Publishing, 2007. ISBN 978-80-86946-40-5.
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