Statistica per le decisioni aziendali - Luigi Biggeri - Matilde Bini - Alessandra Coli - Laura Grassini - Mauro Maltagliati -Pearson
Statistica-Levine David M.; Krehbiel Timothy C.; Berenson Mark L.-Pearson
handouts on spreadsheet provided during class
Learning Objectives
The course aims to provide students with not only the basic knowledge but also the implementing instruments for the analysis of time series, analysis of productivity and efficiency, index numbers and simple linear regression.
Prerequisites
statistics
Teaching Methods
Lectures (48 hours)
Further information
during the course will be given handouts to students and classes will be scheduled in a computer room
Type of Assessment
The test consists in the application of statistical tools to the computer during the course using as a base one or more data sets one or more datasets
Course program
Basic knowledge for the use of the spreadsheet: relative and absolute references, the "solver" tool, organization of data by sorting tools, filter and Pivot Table, statistical functions
Time series analysis using the classical approach: decomposition and seasonal adjustment, the assessment indices of models, exponential smoothing, correlogram
Analysis of Index numbers: simple and complex index numbers
Productivity and efficiency analysis: partial and total factor productivity, efficiency and paramentrica not paramentrica
Regression: Introduction to the analysis of linear regression smeplice through an application approach