Subjects

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Environmental Statistic - N217032

Title:	Statistika v ochraně životního prostředí
Guaranteed by:	Department of Water Technology and Environmental Engineering (217)
Faculty:	Faculty of Environmental Technology
Actual:	from 2013 to 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 [HT]
Capacity:	80 / 80 (unknown)
Min. number of students:	unlimited
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time
Level:

Guarantor:	Sýkora Vladimír doc. Ing. CSc.
Is interchangeable with:	N413004

Examination dates Schedule

Annotation -

The course is aimed at discussing the basic statistical concepts and basic statistical operations. The necessary mathematical operations are discussed as numerical form, without the use of pre-programmed functions in the calculator type of Excel, so with their help. Understanding and skills are based on processing a given task during the semester. The course is a block dedicated to the general requirements for the competence of testing and calibration laboratories.

Last update: Sýkora Vladimír (24.01.2019)

Aim of the course -

Students will be able to:

evaluate the statistical ensemble using basic statistical characteristics;

understand the most important statistical concepts, along with a selection of statistical distributions;

manage the testing of hypotheses and skills in the processing of linear regression;

be familiar with the general requirements for the competence of testing and calibration laboratories with an emphasis on test methods and method validation;

process statistical files in Excel.

Last update: Sýkora Vladimír (24.07.2013)

Literature -

R: Meloun M.,Militký J.,Statistická analýza experimentálních dat,Academia Praha 2004,8020012540

Last update: Sýkora Vladimír (12.11.2014)

Syllabus -

1. Evaluation of the data file

2. Basic statistical characteristics

3. Distribution and probability

4. Normal distribution

5. Student’s distribution type

6. Pearson III. distribution type

7. Point and interval estimates

8. Testing of the hypothesis I

9. Testing of the hypothesis II

10. Linear regression

11. Quality and quality systems

12. Accreditation, certification

13. Evaluation of measurement uncertainty of results

14. Basic statistical calculation in Excel

Last update: Sýkora Vladimír (10.11.2012)

Registration requirements -

Application of Computer Techniques, Mathematics I

Last update: TAJ217 (09.08.2013)

Teaching methods
	Activity	Credits	Hours
	Konzultace s vyučujícími	0.5	14
	Obhajoba individuálního projektu	0.3	7
	Účast na přednáškách	0.5	14
	Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi	0.5	14
	Práce na individuálním projektu	1	28
	Příprava na zkoušku a její absolvování	0.3	7
	Účast na seminářích	1	28
		4 / 4	112 / 112

Coursework assessment
Form	Significance
Report from individual projects	60
Oral examination	40