SubjectsSubjects(version: 853)
Course, academic year 2019/2020
  
Applied Statistics - N413004A
Title: Aplikovaná statistika
Guaranteed by: Department of Mathematics (413)
Actual: from 2019
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:1/2 C+Ex [hours/week]
Capacity: 64 / 64 (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Level:  
For type:  
Additional information: http://I.
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Zikmundová Markéta Mgr. Ph.D.
Šnupárková Jana Mgr. Ph.D.
Class: Předměty pro matematiku
Interchangeability : N413004, N413504
Is interchangeable with: B413003, N413004
This subject contains the following additional online materials
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 problems arising in applications

Literature -
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 -
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

 
VŠCHT Praha