Courses list

Wersja polska

Course code: NTSS10129o12
Semester: 2012/2013 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. n. mat. Andrzej Michalski
Language of instruction: Polish


Learning outcomes: Knowledge: The student knows the principles of exploratory data analysis, basic probability theory, mathematical statistics basics: point and interval estimation, hypothesis testing, knows the probability distributions used in food technology. Skills: Students can apply the learned principles of exploratory data analysis for their clear presentation, properly perform statistical inference, select and apply appropriate statistical model to describe the phenomenon under study, based on empirical data, prepare a report containing the results of statistical analyzes using the statistical package.

Competences: Social skills (Attitude): The student understands the randomness of events, the nature and the need for practical application of a statistical model. Moreover, the student is able to perform properly statistical inference, and the results to use in practice.

Prerequisites: mathematics, information technology

Course content: Basic concepts of descriptive statistics: population, random sample, the typology of features describing population. Basic statistics (numerical characteristics), and graphical presentation of empirical material. Basic concepts of probability: the probability, random variable, the density function, types and examples of probability distributions (inter alia used in the food technology). The point estimation, confidence intervals, the confidence level, statistical hypotheses, a critical set of test, the significance level. Verification of hypotheses and basic statistical tests, regression analysis methods.

Recommended literature: 1. Teaching materials developed by the lecturer. 2. Koronacki J., Mielniczuk J. (2001). Statistics for students in engineering and the natural sciences. (in Polish), WNT, Warszawa. 3. Sobczyk M. (1998). Statistics. Theoretical basis, examples - task. (in Polish), Publishing house UMCS - Lublin. 4. Dąbrowski A., Gnot S., Michalski A., Srzednicka J. (1997). Statistics - 15 hours with the package Statgraphics. (in Polish). Ed. AR - Wrocław, Edition. 3. 5. Krysicki W., Bartos J., Dyczka W., Królikowska K., Wasilewski M. (1998). Probability and Mathematical Statistics in tasks. Part I. Mathematical Statistics. Part II., (in Polish) PWN, Warszawa, , Edition XXIV. 7. Abramowicz, H. (1992). How to analyze the results of measurements? (in Polish), Publisher PWN, Warszawa.

Assessment methods: assessment exercise on the basis of regular work, on the basis of solving the tasks of the supplied lists and three control tests, and on the basis of a report carried on the exercise. The minimum knowledge to pass: 60%.

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