Primary and secondary data. Data quality.
Probabilistic and non-probabilistic sampling.
Index numbers.
Statistical methods for quality control. On line and off line methods (control chart, ANOVA, process capability analysis).
Linear regression (simple, multiple).
Productivity and efficiency measures. Frontier production function.
Time series analysis and forecasting (decomposition method).
Biggeri L., Bini M., Coli A., Grassini L., Maltagliati M. (2012) Statistica per le decisioni aziendali. Ed. Pearson, Milano.
Bini M,, G Scaffai (2009), Statistica aziendale. Analisi svolte conExcel, Pearson ed..
Learning Objectives - Last names A-L
KNOWLEDGE: To provide the knowledge for the collection and analysis of data in typical business problems. Provide knowledge on the main data source for business. Provide appropriate technical terminology and methods for the following contexts: quality control, analysis of efficiency and productivity, the representation of phenomena over time; forecasting; analysis of the relationship between phenomena (linear regression).
SKILLS: skills to analyze data and interpret the results produced by a software or statistical package
- Compute and interpret the results of Bivariate Regression and Correlation Analysis.
- Perform ANOVA and F-test.
- Principles and methods of off-line quality control (experimental data, ANOVA).
- Design of a control chart for monitoring a manufacturing process.
- Process capability analysis (estimation of process parameters and capability indexes).
- Use of parametric methods to measure technical efficiency.
- Use of index numbers to compute: price and quantity changes, price inflation, total factor productivity indexes.
- Study of a seasonal time series with the traditional approach (decomposition methods).
- Compute the deseasonalized series.
Teaching Methods - Last names A-L
Lectures
Type of Assessment - Last names A-L
Written exam.
Course program - Last names A-L
Primary data, secondary data, data by analogy, metadata, microdata, elementary data, experimental or observational data, administrative and statistical data, etc. Types of studies: exploratory, descriptive, explanatory. Statistical sources: SISTAN, ISTAT and "unofficial" sources. Quality of statistical data.
Probability sampling: simple random sample, stratified sampling, cluster sampling. Non-probability sampling.
Statistical quality control. Process capability and process capability indices. On-line methods: control chart for variables for the monitoring of the mean and the variability. Concept of rational subgroup. Sensitivity of a control chart to identify shifts in the parameters. Off-line methods: experimental data and methods. Analysis of variance.
Analysis of the relationship between economic variables using simple and multiple linear regression.
Representation of economic time series. Elementary and synthetic index numbers. Index numbers of prices and quantities. Price deflators.
Productivity measures. Partial and total factor productivity. Index numbers of quantity and total factor productivity.
Efficiency measures. Concept of frontier production function. Input efficiency and output efficiency. estimation of a frontier function.
Time series analysis: decomposition method. Additive and multiplicative model. Seasonality and seasonal factors. Estimation of trend. Deseasonalized series.