Gurantor department | Department of Mathematics and Descriptive Geometry | Credits | 1 |

Subject guarantor | Ing. Petra Schreiberová, Ph.D. | Subject version guarantor | Ing. Petra Schreiberová, Ph.D. |

Study level | undergraduate or graduate | ||

Study language | Czech | ||

Year of introduction | 2019/2020 | Year of cancellation | |

Intended for the faculties | FS | Intended for study types | Bachelor |

Instruction secured by | |||
---|---|---|---|

Login | Name | Tuitor | Teacher giving lectures |

OTI73 | Mgr. Petr Otipka | ||

SKN002 | Ing. Petra Schreiberová, Ph.D. |

Extent of instruction for forms of study | ||
---|---|---|

Form of study | Way of compl. | Extent |

Full-time | Credit | 0+1 |

Combined | Credit | 0+6 |

The aim of Repetitorium is to enable
the understanding of mathematics subject matter by solving concrete exercises. Repetitorium will be primarily focused
on practical part of the exam; the exercises that correspond to the written part of the exam will be solved there.

Tutorials

Introduction to probability, Discrete and continuous random variables, Numerical characteristics of random variables,
Exploratory data analysis, Point and interval estimations of parameters, Hypothesis testing, Simple linear regression
model.

W.J. DeCoursey: Statistics and Probability for Engineering Applications With Microsoft(R) Excel. Copyright © 2003
Elsevier Inc. ISBN 978-0-7506-7618-2. Available on-line: http://www.sciencedirect.com/science/book/9780750676182
Atwood C. L. Hits per Trial: Basic Analysis of Binomial Data. Department of Energy, 1994 ; DOI: 10.2172/10191270.
Available on-line: http://www.osti.gov/bridge/product.biblio.jsp?osti_id=10191270

http://stattrek.com/tutorials/statistics-tutorial.aspx

participation on tutorials is obligatory (min. 3 tutorials)

http://mdg.vsb.cz/portal/m3/index.php

There are no other requirements.

Subject has no prerequisities.

Subject has no co-requisities.

1. Combinatorics. Random events, operations with them, sample space.
2. Definitions of probability events - classical, geometrical, statistics. Conditional probability, Bayes\' theorem.
Bernoulli independent repeated trials.
3. Discrete random variable and continuous random variable. Functions of random variables. Moment-generating function,
quantiles.
4. Discrete probability distribution.
5. Continuous probability distribution.
6. Statistics. Statistical methods, descriptive statistics
7. Observed data. Point estimators, interval estimators.
8. Statistical hypothesis testing – the testing process, interpretation, importance. Parametric tests.
9. Correlation and regression analysis.

Conditions for completion are defined only for particular subject version and form of study

Academic year | Programme | Field of study | Spec. | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
---|---|---|---|---|---|---|---|---|---|---|---|

2019/2020 | (B2341) Engineering | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (B2341) Engineering | (2301R003) Transport Equipment and Technology | P | Czech | Ostrava | 2 | Optional | study plan | |||

2019/2020 | (B3712) Air Transport Technology | (3708R037) Aircraft Operation Technology | P | Czech | Ostrava | 2 | Optional | study plan | |||

2019/2020 | (B3712) Air Transport Technology | (3708R038) Aircraft Maintenance Technology | P | Czech | Ostrava | 2 | Optional | study plan | |||

2019/2020 | (B2341) Engineering | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (B2341) Engineering | (2301R003) Transport Equipment and Technology | K | Czech | Ostrava | 2 | Optional | study plan |

Block name | Academic year | Form of study | Study language | Year | W | S | Type of block | Block owner |
---|