1601 Basic Statistics
- Study programme and level: Professional degree programme Administration 1st Cycle
- 1st year
- 8 ECTS
- Course type: Core
- Lectures: 60
- Tutorial: 30
- Other forms of study: 70
- Individual work: 80
- Lecturer: Lan Umek, PhD
1. Objectives and competences
- defines problem, asks research questions, forms hypotheses
- prepares, and processes statistical data, tests hypotheses
- uses statistical tools for gathering, analysing and presenting statistical data and results of statistical analyses
- analyses and reports relationships between variables, predicts and controls values of variables in relationship.
- to perceive, understand and resolve challenges, solvable with statistical approach;
- to use statistical software to proceed statistical analysis and create reports and presentation;
- to convey the results of statistical analyses using presentation of statistical information;
- to solve problems in analytical way.
- History of statistics in its role today in the data analysis of the public sector.
- Basic statistical concepts. Measuring in social sciences.
- Descriptive statistics.
- Data visualization.
- Construction of variables. Indices, proportions, ranks.
- Obtaining statistical data analysis of metadata.
- Basics of probalistic sampling.
- Hypothesis testing.
- Preparation and the analysis of a questionnaire.
- The relationship between the statistical variables. Regression modelling.
- The modeling of time series.
- The usage of statistics in public administration.
- UMEK, Lan, BENČINA, Jože, KOTNIK, Žiga (2017). Spletne učilnice Fakulteta za upravo, Ljubljana: https://e-izobrazevanje.fu.uni-lj.si/ (kasneje: povezava na konkretno učilnico)
- FERLIGOJ, Anuška, LOZAR MANFREDA, Katja, ŽIBERNA, Aleš. Osnove statistike na prosojnicah: študijsko gradivo pri predmetu Statistika. Ljubljana: Fakulteta za družbene vede, 2015. 190 str.
- KASTELEC, Damijana in KOŠMELJ, Katarina: Osnove statistike z Excelom 2007. El. knjiga. – Ljubljana: Biotehniška fakulteta, 2010
- SCHMULLER, Joseph (2009). Statistical Analysis with Excel for Dummies. Wiley Publishing, Inc., Indianapolis. Poglavja 1 – 16, 335 str.
- ARON Arthur, ARON Elaine N., COUPS Elliot (2008). Statistics for the Behavioral and Social Sciences, A Brief Course, 4th ed. Pearson Education, Inc., . New Jersey. Poglavja 1 – 10, 358 str.
4. Intended learning outcomes
- understand the vital role of statistics in public sector data analysis and in social sciences;
- to prepare and search for the data, to grasp issues, to find patterns in the data and to draw conclusions;
- to use basic statistical techniques to analyse data and solve practical problems;
- to formulate hypotheses and test them with statistical tests;
- to explain the results of statistical tests and draw concusions;
- understand some basic statistical techniques for processing statistical data;
- be able to identify and use appropriate statistical techniques for analysing relationships between variables;
- be able to predict and control statistical phenomena;
- develop commitment to the practical application of statistics in data analyses in public sector.
5. Learning and teaching methods
- student preparations for lectures
- student preparations for tutorials
- intercurricural collaboration
- exam part: written or oral exam or exam passed with 2-mid term exams (80 %)
written part of the exam can be done by 2-mid term exams (both exceeding 50 %)
- active participation (e-learning): quizzes (20 %)
Student can get a positive grade if the combined result from the exam and quizzes (0.8*exam+0.2*quizzes) exceeds 50%.