ENV006 Statistical Thinking and Data Treatment

Faculty of Science
Autumn 2014
Extent and Intensity
1/2. 3 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. Mgr. Dominik Heger, Ph.D. (lecturer)
Mgr. Ján Krausko (seminar tutor)
Mgr. Ľubica Vetráková, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ivan Holoubek, CSc.
RECETOX – Faculty of Science
Contact Person: doc. Mgr. Dominik Heger, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Tue 10:00–12:50 B09/316
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
At the end of this course students should be able to understand and perform basic data and should know where to look for more advanced methods.
Syllabus
  • Synopsis 1. Introduction to Data Analysis 2. Basic Descriptive Statistics 3. Error Propagation 4. Test 1 5. Normal Distribution 6. One-sample Hypotheses 7. Test 2 8. Two-sample Hypotheses 9. Multisample Hypotheses and the Analysis of Variance 10. Test 3 11. Regression and Correlation 12. Target Factoral Analysis, Singular Value Decomposition
Literature
  • Jerrold H. Zar: Bistatistical Analysis
Teaching methods
Lectures, exercises, practical data analysis in few programs.
Assessment methods
3 tests, oral exam
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2015.
  • Enrolment Statistics (Autumn 2014, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2014/ENV006