Gurantor department | Department of Mathematics and Descriptive Geometry | Credits | 4 |

Subject guarantor | Ing. Petra Schreiberová, Ph.D. | Subject version guarantor | Mgr. Marcela Rabasová, Ph.D. |

Study level | undergraduate or graduate | Requirement | Compulsory |

Year | 2 | Semester | winter |

Study language | English | ||

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 |

KAH14 | Mgr. Marcela Rabasová, Ph.D. | ||

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

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

Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 2+2 |

Part-time | Credit and Examination | 12+0 |

The goal of the course is to serve as a theoretical and practical base to understand the importance of the basic notions in probability, and teach the student statistical way of thinking as a mean of understanding real life processes, introduce basic methods of collecting and analysing statistical data, and show the student how to use these general methods in other courses of study and in professional career.
The graduate of this course should be able:
• understand and use basic notions in combinatorics and probability theory
• formulate questions, which can be answered based on the given data, for this purpose learn the principles of collecting, processing data and presentation of relevant values and results
• choose and use suitable statistical methods for data analysis
• suggest and evaluate conclusions (inference) and predictions obtained from data

Lectures

Seminars

Tutorials

Project work

Other activities

Probabilities of random events: axioms of probability, conditional probability,
independence. Random variables: discrete random variables, continuous random
variables, expected values. Important practical distributions of discrete and
continuous random variables.Estimating of parameters of population. Testing of
hypotheses. Exercises - EXCEL.

Boháč, Zdeněk: Numerical Methods and Statistics, VŠB – TUO, Ostrava 2005.
ISBN 80-248-0803-X.

Harshbarger, R.J.-Reynolds, J.J.: Calculus with Applications.
D.C.Heath and Company, Lexington1990, ISBN 0-669-21145-1.
James, G.: Advanced Modern Engineering Mathematics. Addison-Wesley, 1993.
ISBN 0-201-56519-6.

Zápočet
- odevzdání programu
- absolvování 2 písemných testů
Zkouška - kombinovaná

http://mdg.vsb.cz/portal/en/Statistics1.pdf

There are no more requirements.

Subject code | Abbreviation | Title | Requirement |
---|---|---|---|

310-2112 | MII | Mathematics II | Compulsory |

310-2117 | M1 | Mathematics 1 | Recommended |

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. Random vector. The probability distribution. Expected value, covariance, coefficient of correlation.
7. Statistics. Statistical methods, descriptive statistics
8. Observed data. Point estimators, interval estimators.
9. Statistical hypothesis testing – the testing process, interpretation, importance. Parametric and non-parametric tests.
10. Correlation and regression analysis.

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points | Max. počet pokusů |
---|---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 | |

Credit | Credit | 20 | 5 | |

Examination | Examination | 80 (80) | 30 | 3 |

Praktická část | Written examination | 60 | 25 | |

Teoretická část | Written examination | 20 | 5 |

Show history

Conditions for subject completion and attendance at the exercises within ISP: In order to complete the credit, students pass the credit test. On the basis of a successfully completed credit, they can take an exam.

Show history

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

2023/2024 | (B0713A070003) Energetics and Environments | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2023/2024 | (B0715A270012) Engineering | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2022/2023 | (B0713A070003) Energetics and Environments | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2022/2023 | (B0715A270012) Engineering | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2021/2022 | (B0713A070003) Energetics and Environments | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2021/2022 | (B0715A270012) Engineering | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2020/2021 | (B0715A270012) Engineering | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2020/2021 | (B0713A070003) Energetics and Environments | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2019/2020 | (B2341) Engineering | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2019/2020 | (B0715A270012) Engineering | P | English | Ostrava | 2 | Compulsory | study plan | |||||

2019/2020 | (B0713A070003) Energetics and Environments | P | English | Ostrava | 2 | Compulsory | study plan |

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