622 Basic Statistics

622 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: 30
  • Individual work: 120
  • Lecturer: Lan Umek, PhD


1. Objectives and competences


  • defines problem, asks research questions, prepares, and processes statistical data,
  • uses computational technology and statistical tools for gathering, analysing and presenting statistical data and results of statistical analyses
  • uses descriptive statistical techniques for single variable analysis,
  • prepares sampling process, calculates the values of sample parameters and estimates the values of population parameters,
  • forms hypotheses and calculates suitable statistical tests,
  • analyses and reports relationships between variables, predicts and controls values of variables in relationship.

Student is qualified:

  • to examine numerical data, to grasp issues and draw conclusions;
  • to use basic statistical techniques to analyse data and solve practical problems;
  • to perceive, understand and resolve challenges, solvable with statistical approach;
  • to identify, collect, and organize data for statistical analysis;
  • to use IT equipment and statistical tools to proceed statistical analysis and create reports and presentation;
  • to convey the results of statistical analyses using presentation of statistical information.

2. Content

Vital role of statistics in public sector data analysis

  • Problem solving, asking research questions
  • Entities and their properties – variables
  • How and where to acquire, how to present statistical data

Analysis of relationships between variables

  • Relationships between variables as a key to statistical prediction, how to detect and illustrate relationship between variables
  • How to predict and control the values of variables

Techniques for studying relationships between variables

  • An overview of the techniques for studying relationships between variables
  • Techniques for illustrating relationships between variables
  • The analysis of single variable
  • Sampling and estimation
  • Hypothesis testing
  • Techniques for detecting relationships between variables
  • Techniques for predicting and controlling the values of variables

3. Readings

  • BENČINA, Jože, DEVJAK, Srečko (2010). Statistika v upravi. Fakulteta za upravo, Ljubljana: e-studij.fu.uni-lj.si/course/, 130 str.
  • 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.
  • SELJAK, Janko (2000). Statistika v javni upravi. Visoka upravna šola, Ljubljana. 318 str.

4. Intended learning outcomes

Students will:

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

be able

  • to detect problem situation, to define problem statement and ask research question;
  • to formulate problem and define hypothesis in terms of statistics;
  • to proceed basic hypothesis testing;
  • 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

  • lecture
  • practical work
  • e-learning

6. Assessment

  • written and/or oral exam or 2 mid-term exams (90%)
  • coursework and active class participation (10%)