Subjects(version: 954)

Data Processing in Statistics - N323008
Title: Statistické zpracování dat Department of Food Analysis and Nutrition (323) Faculty of Food and Biochemical Technology from 2021 winter winter s.:3 winter s.:3 winter s.: winter s.:1/2, MC [HT] unknown / unknown (unknown) unlimited cancelled Czech full-time full-time http://mms01.vscht.cz/vyuka/
Guarantor: Pudil František Ing. CSc.Kocourek Vladimír prof. Ing. CSc. B323006
Examination dates   Schedule
 Annotation - ---CzechEnglish
Basic statistical analysis with small numerical data sets. Working with the actual versions of MS Excel and Statistica for Windows (StatSoft).
Last update: TAJ323 (12.12.2013)
 Aim of the course - ---CzechEnglish

Student will be able to:

• Use statistic functions and macros in MS Excel, simple statistic analysis with Statistica (modul Basic).
Last update: TAJ323 (12.12.2013)
 Literature - ---CzechEnglish

R: Eckschlager K., Horsák I., Kodejš Z.: Vyhodnocování analytických výsledků a metod, SNTL Praha, 1980, ISBN 04-610-80

Electronic resources:

R: Elektronická nápověda k programu MS Excel podle aktuální verze

R: http://www.statistica.cz/

A: http://mms01.vscht.cz/vyuka/

Last update: TAJ323 (16.08.2013)
 Learning resources - ---CzechEnglish

http://mms01.vscht.cz/vyuka/

Last update: PUDILF (15.08.2013)
 Teaching methods - ---CzechEnglish

Lectures, seminars and individual work

Last update: PUDILF (15.08.2013)
 Requirements to the exam - ---CzechEnglish

Lectures, seminars and individual project

Last update: PUDILF (15.08.2013)
 Syllabus - ---CzechEnglish

1. History introduction, histogram, random value.

2. Frequency - absolute, relative, cumulative and relative cumulative, probability, random selection, variartion, permutation, combination.

3. Frequency and distributin function.

4. Absolute and relative error, statistical estimations, mean value, variance, curtoisis, skewnes.

5. Statistical tests - parametric.

6. Statistical tests - nonparametric.

7. Regression - linear.

8. Regression - nonlinear, polynomic, linearization.

9. Correlation, coefficient and matrix.

10. Analysis of variance.

11. Introduction to the multivariate methods.

12. Basic principles of the neural networks.

13. Using fuzzy sets.

14. New trends in data processing.

Last update: TAJ323 (16.08.2013)
 Entry requirements - ---CzechEnglish

Required N413002

Last update: PUDILF (15.08.2013)
 Registration requirements - ---CzechEnglish

Mathematics I, Computer technology I

Last update: PUDILF (15.08.2013)
 Course completion requirements - ---CzechEnglish

Individual statistical project

Last update: PUDILF (15.08.2013)
 Teaching methods Activity Credits Hours Účast na přednáškách 0.5 14 Práce na individuálním projektu 1.5 42 Příprava na zkoušku a její absolvování 1 28 Účast na seminářích 1 28 4 / 3 112 / 84
 Coursework assessment Form Significance Regular attendance 50 Defense of an individual project 50

VŠCHT Praha