Courses list

Wersja polska

Course code: NTSS10129o11
Semester: 2011/2012 summer
Name: Statistics
Major: Food Technology and Nutrition
Study Type: first cycle
Course type: compulsory
Study Semester: 4
ECTS points: 2
Hours (Lectures / Tutorials / Other): 15 / 15 / 0
Lecturer: dr hab. Andrzej Michalski
Language of instruction: Polish


Learning outcomes: The student knows the theoretical basics and he has the practical abilities in the field of exploratory data analysis by using statistical packages (e.g. STATISTICA, EXCEL (unit-Data Analysis)), of the constructing statistical models and the studying of a structure and a dynamics of random phenomena. Student understands and knows the principles of transforming of statistical data in order to conduct the correct statistical inference on the elementary level.

Competences: The student has ability of the independent carrying out analysis of statistical experimental data applying the proper statistical methods on the elementary level. Moreover he is able to elaborate the report which includes the verification of potential research hypotheses by using the statistical package e.g. STATISTICA.

Prerequisites: mathematics, informatics

Course content: Terminology in the field of descriptive statistics: population, random sample, types of features describing a population. Basic statistics (numerical characteristics) and graphical presentation of empirical material. Basic concepts of probability calculus: probability, random variable, density function, types and examples of probability distribution. Point estimation, confidence intervals, confidence level, statistical hypotheses, critical region of test and significance level. Testing of hypotheses and basic statistical tests, methods of analysis of variances and regression.

Recommended literature: 1. Teaching materials elaborated by lecturer (in Polish); 2. Statystyka dla studentów kierunków technicznych i przyrodniczych, Koronacki J., Mielniczuk J, WNT, Warszawa, 2001. 3. Statystyka - 15 godzin z pakietem Statgraphics, Dąbrowski A., Gnot S., Michalski A., Srzednicka J., Wyd. AR - Wrocław, Wyd. 3, 1997; 4. Statystyka dla przyrodników, Kala R., Wyd. AR - Poznań, 2002 5. Przystępny kurs statystyki, Stanisz A.: Kraków, 1998 6. Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach. Część I. Rachunek prawdopodobieństwa, Część II. Statystyka matematyczna, Krysicki W., Bartos J., Dyczka W., Królikowska K., Wasilewski M., PWN, Warszawa, 1993, Wyd.III; 7. Elementy statystyki matematycznej i metodyka doświadczalnictwa, Oktaba W., PWN, Warszawa, 1974.

Assessment methods: In order to verify the lecture contents: test of complements (questions and short tasks): a minimal stock of knowledge at least 60% (in the punctual range). Credit of classes according to: tests (to 15 min.), solution of problems from given lists of task (at table and using a computer), activity (additional points), accomplished report on the base of selected experimental data and final repetition - at least 60% requested points.

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