SubjectsSubjects(version: 877)
Course, academic year 2020/2021
  
Applied Statistics - N413004
Title: Aplikovaná statistika
Guaranteed by: Department of Mathematics (413)
Actual: from 2020
Semester: summer
Points: summer s.:4
E-Credits: summer s.:4
Examination process: summer s.:
Hours per week, examination: summer s.:1/2 C+Ex [hours/week]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Level:  
Is provided by: B413003
For type:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Šnupárková Jana Mgr. Ph.D.
Zikmundová Markéta Mgr. Ph.D.
Class: Předměty pro matematiku
Interchangeability : N217032, N413004A
Z//Is interchangeable with: N413004A, B413003, AB413003
Annotation -
Last update: TAJ413 (17.12.2013)
The Elementary Course of Statistics is aimed at undergraduate students. Students will learn basic statistical methods and gain insight into basic probability concepts.
Aim of the course -
Last update: TAJ413 (17.12.2013)

Students will:

1. master fundamental statistical and probability concepts

2. have working knowledge of elementary statistical methods

3. be able to solve elementary statistical tasks with self-reliance

Literature -
Last update: KNOBLOCL (18.12.2015)

A: Freund J.E., Walpole R.E.: Mathematical Statistics, Prentice-Hall,Inc.,Englewood Cliffs, N.J., 1980

A: Bowerman, B., O`Counel, R.T.: Applied Statistics, IRWIN Inc Company 1997, ISBN 0-256-19386-X

Learning resources -
Last update: Šnupárková Jana Mgr. Ph.D. (11.04.2016)

http://www.vscht.cz/mat/AS/PISST6vzor1.pdf

http://www.vscht.cz/mat/AS/PISST9vzor2.pdf

Syllabus -
Last update: Šnupárková Jana Mgr. Ph.D. (11.04.2016)

1. Probability of random events, independence of random events.

2. Conditional probability, law of total probability, Bayes's theorem.

3. Random variable, distribution function, probability function, density.

4. Mean, variance, quantiles, median, critical values, independence and correlation of random variables.

5. Fundamental types of discrete and continuous distributions.

6. Random sample, sample statistics.

7. Point estimates, confidence intervals.

8. Testing of statistical hypotheses, type I and II errors. One-sample tests about mean and variance.

9. Two-sample tests about means and variances.

10. Independence testing.

11. Goodness-of-fit testing.

12. Contingency tables.

13. Fundamentals of regression analysis.

14. Summary, alternatively more specific statistical methods.

Registration requirements -
Last update: TAJ413 (17.07.2013)

Mathematics I

Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0,5 14
Účast v laboratořích (na exkurzi nebo praxi) 0 0
Obhajoba individuálního projektu 0 0
Účast na přednáškách 0,5 14
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 0,5 14
Práce na individuálním projektu 0 0
Příprava na zkoušku a její absolvování 1,5 42
Účast na seminářích 1 28
4 / 4 112 / 112
Coursework assessment
Form Significance
Regular attendance 20
Continuous assessment of study performance and course -credit tests 30
Oral examination 50

 
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