20356 - PRECORSO DI STATISTICA / STATISTICS - PREPARATORY COURSE
Dipartimento di Scienze delle Decisioni / Department of Decision Sciences
Per la lingua del corso verificare le informazioni sulle classi/
For the instruction language of the course see class group/s below
Vai alle classi / Go to class group/s: 1
Docente responsabile dell'insegnamento / Course Director:
PIERO VERONESE
PIERO VERONESE
Class group/s taught in English
Lezioni della classe erogate in presenza
Mission & Content Summary
MISSION
The course is meant to provide students with the basic elements of statistics and data analysis whose knowledge is required for the mandatory quantitative methods courses in Master of Science: M and MM.
CONTENT SUMMARY
- Introduction concepts: data sources, databases, sampling theory.
- Qualitative data: variable classification, univariate and bivariate frequency analysis.
- Quantitative data: variable classification, univariate analysis (location, spread and shape indexes), bivariate analysis (correlation).
- Random variables: probability and common distributions.
- Introduction to statistical inference: point and interval estimation.
- Introduction to statistical test: connection, means, correlation, linear regression.
Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
- P. NEWBOLD, W. CARLSON, B. THORNE, Statistics for Business and Economics, Pearson Prentice Hall, 2009.
- N.K. MALHOTRA, Marketing Research An Applied Orientation, Pearson Prentice Hall, 2007.
Last change 09/06/2018 22:54