SECS-S/03 - 6 CFU - 1° Semester

Teaching Staff


Learning Objectives

General objectives

Study of methods and statistical applications for the development of management policies, management and control for the company .

Provide future managers or business analysts, tools, methodologies, interpretations and interpretation of statistical data having a corporate nature. The teaching model is geared to provide students with tools to develop data sets, choose the most appropriate statistical methodology to the objectives that the analyst wants to achieve, how to draw and interpret statistical reports and company finally able to translate in manager the statistical result obtained in actions of policy decision.

The course is strongly oriented with simulations of real cases and provides the student with new competitive capabilities in specialized training. The setting of the course is aimed at facilitating the understanding of the potential analytical and application of various techniques and treated to achieve a good balance between technical rigor of the methods and illustration of the potential applications of the same by using excel.


Specific objectives


1. Knowledge and understanding (knowledge and understanding):

The course requires a good knowledge of descriptive statistics. The setting of the course is aimed at facilitating the understanding of the potential application of different analytical and statistical techniques applied to science and business to achieve a good balance between technical rigor of the methods and illustration of the potential applications of the same through the use of common software. This is achieved by the appeal / review of the basics, in a robe and purely application intepretativa (ie do not ask what is an average but how we interpret and calculate in excel).


2. Applying knowledge and understanding (applying knowledge and understanding):

Through the development of a balanced amount of simulazion excell in and through the presentation of a panel Aplio of case studies, the student will have topics on which to reflect in order to identify specific methods to the case to solve, process and interpret the results. This approach allows an understanding tangimile the utility of statistical tools and the consistency between objective to be achieved and the methodology to be adopted.


3. Making judgments (Making judgments):


The student through continuous feedback with the teacher will be encouraged to improve their ability to process and describe with precision and clarity interpretative models for statistical analysis across the enterprise.

To this end, it will be useful in the comparison of the working groups. In fact, they allow a more effective interactive teaching and the development of leadership skills.

The comparison between the working group and r the teacher and within the working group, the student acquires autonomy in critical capacity on its preparation compared to the parameters of the evaluation, which led him safely in the approach to the final exam.


4. Communication skills (communication skills):


At the end of the course, the student will be able to transfer to other, with technical language and practical, information and assessments related to business analysis also assigned by the use of excel. Communication skills are acquired and verified during the course specific study groups, preparation of statistical reports business, classroom discussions and presentation of results. The acquisition of communication skills is entrusted to the discussion of results with the study groups and the final test. Students are invited to take action at any time of the lesson for clarification or more information about the topics covered or are urged to verify the practical understanding of the theoretical aspects treated. In addition there will be weekly meetings, outside school hours, for suggestions, discussions and review of the documents (usually during office hours).


5. Learning skills (learning skills):


At the end of the training, characterized by constant stress of the teacher on time of submission of entries per module, by open discussions in the classroom, from the meetings during office hours of teacher, by comparison within a single workgroup and among the working groups, the student will have acquired the knowledge and expertise to analyze and solve problems through the selection of statistical tools on practical cases.

Detailed Course Content

MODULE I - Elements of statistical inference for the business dynamics or business management - 3 CFU

Program description:

This module provides for the dissemination of inferential techniques and simulation of case studies of sampling methods, construction of statistical reports, Interval estimates and tests of hypothesis.

  1. Sampling methods*
  2. Confidence Intervals*
  3. Hypothesis testing*
  4. Tests based on two samples and one-way ANOVA*
  5. Chi-square test and test of independence


MODULE II - Forecast sales and market demand - Selection of investment project - Introduction to Statistical Quality Control - 3 CFU

Program description:

This module will be developed prediction techniques through simple linear regression models and multiple models (simple linear regression, quadratic, multiple logistic dummy) for business simulations; Introduction to methods for the statistical quality control of a production process; Method of investment selection project.

  1. Statistical methods of forecasting; *
  2. Regression method; *
  3. Exponential smoothing and the method of Box and Jenkins
  4. Choosing an investment project
  5. Theory and methods for the analysis and management of the quality of a production process*


MODULE III - Methods and applications to the measurement and estimation of the quality of a production process and control of the balance sheet - 3 credits

Program description:

This module will develop the techniques of statistical evaluation of the quality of a production process and the quality of balance sheet data.

  1. Sampling techniques in controlling the quality of balance sheet data

The estimators in statistical quality control data on a corporate balance sheet*

Textbook Information

1. Brasini-Freo- F.Tassinari-G.Tassinari, “Statistica Aziendale E Analisi Di Mercato" ed. Il Mulino

2. Frosini-Montinaro – Nicolini (1999) Il campionamento da popolazioni finite ed. UTET Universitaria : par.1.1-1.2- 1.2.1- 1.3 – 3.1 – 3.2 – 3.2.1- 3.2.2- 3.2.3- 3.3- 3.3.1 – 3.3.2 – 3.3.3- 3.3.4- 3.3.5

3. David M. Levine, Timothy C. Krehbiel, Mark L. Berenson (2011) Statistica II ed. edizione Apogeo

4. Skonieczny G. Torrisi B. (2010) “Metodi ed analisi statistiche nella revisione dei bilanci” ed. McGraw – Hill, Italia Print on demand


Open in PDF format Versione in italiano