 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

Student:

• 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.

Objectives

• 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.

• 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%.