ECTS
ECTS Course Catalogue
Course details
Course code: RESS10146o17Semester: 2017/2018 summer
Name: Descriptive Statistics
Major: Economics
Study Type: first cycle
Course type: compulsory
Study Semester: 2
ECTS points: 4
Hours (Lectures / Tutorials / Other): 15 / 15 / 0
Lecturer: dr hab. Helena Jasiulewicz, prof. nadzw. UP
Language of instruction: Polish / English
Learning outcomes: KNOWLEDGE: Student knows methods, tools and techniques of acquiring and presentation od statistical data. Student knows descriptive characteristics of mass phenomena and methods of analysis of dynamics of economical phenomena and processes. SKILLS: Student is able to carry out an analysis of data structure using a spreadsheet. Student is able to use methods of descriptive statistics to analysis and evaluation of economical phenomena and processes. Student is able to determine measures of dynamics of economical processes.
Competences: PERSONAL AND SOCIAL COMPETENCES: Student understands a significance of descriptive statistics to analysis of economical phenomena and processes. Student is aware of solid and responsible performing of date analysis.
Prerequisites: Mathematics for the field Economics, first level. Spreadsheet.
Course content: Obtaining statistical data. Presentation od data in a spreadsheet. Empirical distributions. Characteristics of distributions. Colinearity of features either quantitative or qualitative. Time series with developmental trends. Mthods of analysis of dynamics of phenomena.
Recommended literature: 1. S. Ostasiewicz, Z. Rusnak, U. Siedlecka, Statystyka. Elementy teorii i zadania. Wyd. AE., Wrocław 2001. 2. M. Sobczyk, Statystyka. PWN, Warszawa 2000. 3. W. Krysicki, J. Bartos, W. Dyczka, K. Królikowska. M. Wasilewski. Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach, cz. I-II. PWN. Warszawa 2007. 4. J. Koronacki, J. Mielniczuk. Statystyka dla studentów kierunków technicznych i przyrodniczych. WN-T, Warszawa 2004. 5. J. Jóźwiak, J. Podgórski, Statystyka od podstaw, PWE, Warszawa 2009.
Assessment methods: Knowledge: Test from the theory. Skills: Test: assessment of an analysis and interpretation of collected data. Assessment of activity during classes. Personal and social competences: Points for activity and discussions during classes.
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