Knowledge of basic methods of statistics: descriptive statistics, simple random sample, normal distribution, point estimation, confidence intervals, statistical hypothesis
The exam consists of a written test
The course of Business Statistics has two main objectives: to provide students with the ability to read statistical information useful for decision making, available outside the enterprise or to be created by statistical surveys; introduce students closer to some statistical methods as descriptive statistics, linear regression analysis, principal components analysis, cluster analysis.
1. Introduction. Descriptive statistical analysis for business data. Average values and univariate distributions. Index numbers and growth rate. [Biggeri e al. (2012), cap. 1, par. 1, 2, 3; cap. 3, par. 3.3]
2. Linear regression model. [Biggeri e al. (2012), cap. 6]
3. Principal component analysis. [Biggeri e al. (2012), cap. 8]
5. Cluster analysis. [Biggeri e al. (2012), cap. 8]
L. Biggeri, M. Bini e al., Statistica per le decisioni aziendali, Pearson Italia, Milano, 2012.
B. Bracalente, M. Cossignani, A. Mulas, Statistica Aziendale, McGraw-Hill, Milano, 2009.
Lessons at front-desk (30 hours). The lessons are accompanied by exercises on real data with the use of appropriate statistical software
Student Office Hours is available on web site www.Disea.it