455-0550/01 – Statistical Data Processing (MZD)
Gurantor department | Department of Measurement and Control | Credits | 4 |
Subject guarantor | prof. Dr. Ing. Miroslav Pokorný | Subject version guarantor | prof. Dr. Ing. Miroslav Pokorný |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 2 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2004/2005 | Year of cancellation | 2009/2010 |
Intended for the faculties | FEI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The purpose of the course is to explain the basic notions and method for statistic analysis. Methods of search analysis of one dimensional data will studied.
Teaching methods
Lectures
Individual consultations
Tutorials
Experimental work in labs
Summary
Course deals with tools and methods of statistical data processing. Description of program system MATLAB/Statistics Toolbox is implement.
Compulsory literature:
MATLAB - Statistic Tool Box
Recommended literature:
Way of continuous check of knowledge in the course of semester
Průběžná kontrola studia:
Průběžná kontrola je prováděna na základě účasti studenta v počítačových cvičeních
Podmínky udělení zápočtu:
Student může dosáhnout 40 bodů za elaboráty počítačových cvičení. Minimální počet dosažených bodů pro udělení zápočtu je 10. Pro absolvování předmětu musí student obdržet zápočet a složit závěrečnou zkoušku. Závěrečná zkouška má dvě části: písemnou se ziskem 0-40 bodů a ústní se ziskem 0-20 bodů. K absolvování předmětu musí student absolvovat obě části zkoušky.
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Probability theory.
Chance quantity.Definition, properties od distributive and frequency function.
Numeral characteristics, central moment, dispersion,
skew, median etc.
Measurement errors. Accuracy of devices.
Search analysis.Order statistics. Statistic graphs - box plot, histogram, diagram of dispersion, etc.
Probability distribution of discrete stochastic quantity. Poissonovo, binomic distribution.
Probability distribution of continuous stochastic quantity.Uniform, exponencial, Normal distribution.
Pearson, student, Fisher, Snedecker distribution.
Minimum size of selection, independence of elements,
homogeneity.
Statistic analysis of one-dimensional data. Parameter estimation of situation and dispersion.
Interval parameter estimation.
Robust parameter estimation.
Hypothesis testing.
Linear regression.
Computer labs:
MATLAB, Statistic software.
Work with data in MATLAB.
Tasks from probability theory.
Frequency and distributive function.
Chance quantity and numeral characteristics. Setting of Task.
Error estimation.
Order statistics. Graf analysis(histogram, boq plot)
Discrete probability distribution.Demo.
Continuous probability distribution. Demo.
Point estimations, interval estimations.
Testing of hypothesis.
Linear regression.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.