(in Polish) Podstawy analiz statystycznych w pakiecie SPSS

General data

Course ID:	2600-PASSPSS-OG
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	(unknown)
Name in Polish:	Podstawy analiz statystycznych w pakiecie SPSS
Organizational unit:	Faculty of Management
Course groups:	General university courses General University Courses in Faculty of Management General university courses in the social sciences On-line general university courses
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	general courses
Prerequisites (description):	Required is PS Imago Academic Pro 8 lub other licence (offered by participants Faculty); Descriptive Statistics and Statistical Methods or equivalent
Mode:	Remote learning
Short description:	The main goal of the course is to perform a whole questionnaire research – from design of the questionnaire, through the analysis to a report. During the semester, students will design a questionnaire and perform questionnaire research using open, web based tools. The second step will be analyzing data and reporting the outcome in graphical form. Target audience must have basic knowledge of statistics. Classes will contain to parts – part of the lecture and part of training held in SPSS.
Full description:	During the course theoretical parts will be combined with practical training. This way participants will use theoretical knowledge in practice right away and will be able to prepare research “step by step”. Students will work on their projects in small teams. Theory: 1. Statistical study 2. Introduction to survey design 3. Basics of descriptive statistics 4. Hypothesis testing 5. Data visualization Practice in SPSS: 1. Identifying problem and formulating the hypotheses. 2. Data analysis – sample description and hypotheses testing 3. Making conclusion – building the report
Bibliography:	A. Aczel; Statystyka w zarządzaniu, Wydawnictwo Naukowe PWN, Warszawa, 2017 B. Pułaska-Turyna; Statystyka dla ekonomistów, Difin, Warszawa, 2011 P. Biecek; Odkrywać! Ujawniać! Objaśniać!, Zbiór esejów o sztuce prezentowania danych, Uniwersytet Warszawski, Warszawa H. Rosling; Factfulness, Media Rodzina, Poznań
Learning outcomes:	(in Polish) Po ukończeniu przedmiotu student: Wiedza: Wymienia miary statystyczne. Definiuje hipotezę statystyczną. Umiejętności: Oblicza podstawowe miary statystyczne Rozpoznaje podstawowe rozkłady zmiennej losowej ciągłej Buduje przedział ufności Weryfikuje hipotezy statystyczne Przeprowadza analizę regresji liniowej Przeprowadza wymagane analizy w pakiecie statystycznym Kompetencje społeczne: Rozpoznaje manipulacje danymi w przestrzeni publicznej. Współpracuje w zespole zadaniowym
Assessment methods and assessment criteria:	10% - attendance 10% - active participation in classes 30% - homework/quizzes/reading 50% - group project 0 - 59% - 2.0 60% - 67% - 3.0 68% - 75% – 3,5 76% - 83% - 4.0 84% - 91% - 4.5 92% - 98% - 5.0 99% - 100% - 5.5

This course is not currently offered.

Course descriptions are protected by copyright.
Copyright by University of Warsaw.