29902468 - STATISTICAL METHODS FOR DATA ANALYSIS

THE COURSE PROVIDES BASIC CONCEPTS OF SAMPLING AND REGRESSION. PARTICULAR ATTENTION IS DEVOTED TO THE COMPARISON OF PROBABILISTIC AND NON-PROBABILISTIC SAMPLING, BIVARIATE AND MULTIVARIATE REGRESSION. DURING THE COURSE STUDENTS WILL BE INTRODUCED TO THE USE OF STATISTICAL SOFTWARE FOR COMPUTERS, THROUGH WHICH TO BUILD TABLES AND GRAPHS AND APPLY, EVEN IN RESEARCH CONTEXTS, SOME OF THE TECHNIQUES LEARNED, SOLVING PROBLEMS IN NEW AREAS, PLACED IN INTERDISCIPLINARY CONTEXTS. BY AUTONOMOUSLY MANAGING COMPLEX KNOWLEDGE, THE STUDENT WILL LEARN HOW TO MAKE CRITICAL JUDGMENTS AND COMMUNICATE THE RESULTS OBTAINED TO SPECIALISTS AND NON-SPECIALIST INTERLOCUTORS.
teacher profile | teaching materials

Fruizione: 22902266 METODI STATISTICI DI ANALISI DEI DATI 6 CFU LM 57 in Scienze pedagogiche e scienze dell'educazione degli adulti e della formazione continua LM-85 BOVE GIUSEPPE

Programme

ARGUMENTS CONSIDERED ARE: SAMPLING AND NON SAMPLING ERROR, SIMPLE RANDOM SAMPLING, CLUSTER AND STRATIFIED SAMPLING, CONFIDENCE INTERVAL, INTRODUCTION TO SIMPLE AND MULTIPLE REGRESSION.

Core Documentation

CORBETTA P., GASPERONI G., PISATI M., STATISTICA PER LA RICERCA SOCIALE, IL MULINO, BOLOGNA, 2001.
CHAPTERS AND SECTIONS TO STUDY ON THE TEXT OF CORBETTA, GASPERONI AND PISATI
CHAPTER 6: ALL (EXCEPT PIECE-WISE LINEAR REGRESSION ON PAGE. 171) CHAPTER 7: ALL (NOT FUNCTION AND USE OF RATIOS AND NOT DXY SECTION 5.) CHAPTER 8: ALL (EXCEPT FOR SECTION 2.3) CHAPTER 10 ALL (IN SECTIONS 3.1 E 3.2 EXCLUDED THE FORMULAS THAT DO NOT REGARD THE ESTIMATE OF THE POPULATION MEAN).

Type of delivery of the course

CLASS

Type of evaluation

WRITTEN EXAMINATION