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Lecturer(s)
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Vlčková Vladimíra, Ing. Ph.D.
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Course content
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Basic statistical terminology. Stages of statistical survey. Theory of errors. Random event. Probability. General population and sampling population. The rules of distribution one-dimensional random variable. Distribution of discrete random variable. Distribution of continuous random variable General concepts of point and interval estimation. Statistical hypothesis testing - parametric tests. Nonparametric tests. Exploratory analysis of one dimensional data. Analysis of variance. Dependencies of random variables - functional, regression, correlation, tightness of dependence. Simple linear regression and multiple linear regressions. Basic concept of time- series, description and analyse. Design of Experiments. Principles of statistical quality control.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Methods of individual activities, Skills training
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Learning outcomes
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The aim of this subject is to provide students with theoretical and mathematical principles needful for orientation in commonly used statistical characteristics. Emphasis is mainly put on practical skills, i.e. on encompassment of experimental data processing using Excel and on subsequent interpretation and presentation of results.
Student is after fulfillment of this subject able to orientate himself properly in basic statistical characteristics and to use appropriate basic statistical methods of experimental data processing mainly using Excel. He is competent to design and to carry out appropriate ways to get data, their processing, analyze, interpretation and presentation of results considering practice in chemical enterprise or laboratory.
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Prerequisites
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Knowledge in mathematics taught within the bachelor study is needed for study of the subject.
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
Exam has two parts - written with computer and oral one. Level of acquired knowledge, approaches, as well as skill in practice application is examined. The results from current test are considered as a part of final classification.
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Recommended literature
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Cyhelský L. a kol. Elementární statistická analýza, Management press, 1996.
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DOUGLAS C. MONTGOMERY. Applied Statistics and Probability for Engineers, John wiley Sons,Inc., USA, 2006, ISBN 0-471-73556-6.
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HENDL J. Přehled statistických metod zpracování dat, Portál, s.r.o. Praha, 2004..
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MELOUN M., MILITKÝ J. Statistická analýza experimentálních dat. Academia, Praha, 2004.
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PAPPER W. Interactive Statistics for the Behavioral Science, Sinauer Associates, USA, 2004..
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SOUČEK E. Základy pravděpodobnosti a statistiky. Skripta Univerzita Pardubice, 2004, ISBN80-7194-611-7..
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Tošenovský J., Noskievičová D. Statistické metody pro zlepšování jakosti. Montanex a.s. Ostrava, 2000.
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