Applied Statistics - N413004A
Title: Aplikovaná statistika Department of Mathematics (413) from 2019 winter winter s.:4 winter s.:4 winter s.: winter s.:1/2 C+Ex [hours/week] 64 / 64 (unknown) unlimited Czech full-time http://I. course can be enrolled in outside the study planenabled for web enrollment
Guarantor: Zikmundová Markéta Mgr. Ph.D.Šnupárková Jana Mgr. Ph.D. Předměty pro matematiku N413004, N413504 B413003, N413004
This subject contains the following additional online materials
 Annotation - ---CzechEnglish
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 - ---CzechEnglish
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 problems arising in applications

 Literature - ---CzechEnglish
Last update: TAJ413 (17.07.2013)

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

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

 Learning resources - ---CzechEnglish
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 - ---CzechEnglish
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 - ---CzechEnglish
Last update: TAJ413 (17.07.2013)

Mathematics I