1601 Basic Statistics

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.


2. Content

  • 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.

3. Readings


  • 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


Students will:

  • understand the vital role of statistics in public sector data analysis and in social sciences;

be able

  • 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
  • lecture
  • student preparations for tutorials
  • tutorials
  • e-learning
  • intercurricural collaboration

6. Assessment


  • 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%.