TRAINING OBJECTIVES
The course pursues the general objective of the course of study to provide knowledge and skills for certain business functions, both executive and managerial. The course aims to provide students with the statistical tools needed to deal with management and decision-making problems that are inevitably treated in conditions of uncertainty in the company. To this end, the presentation of the topics will follow the logical order of the planning and management of the activities in the various company areas such as production, accounting and finance, marketing and sales, research and development. Alongside the study of methodologies, ample space will be given to applications and operational aspects using the statistical software R.
At the end of the course the student must possess knowledge and skills related to the collection, organization and analysis of data in an economic-business environment.
The objective is to contribute to the formation of a professional figure (envisaged in the CdS) operating in companies with tasks of production organization, stock management and quality control. To this end the course proposes to transmit the following skills and knowledge:
KNOWLEDGE AND UNDERSTANDING ABILITY
- recognizes and distinguishes the different sources of statistical information, internal and external to the company
- knows the principles underlying the preparation of a sample survey
- knows and understands the logic for the construction of estimators in the case of simple random sampling and stratified sampling
- knows and understands the logic of statistical quality control
- knows and understands the multiple linear regression model

To this end the course proposes to transmit the following skills and
knowledge in terms of particular objectives:
KNOWLEDGE AND UNDERSTANDING (applied)
- know how to collect a growing amount of data relating to business management
- know how to implement and use the fundamental statistical tools for the management and quality control
- know how to implement and use the multiple linear regression model to study the relationship between costs and production methods
- know how to identify the company positioning in the market through the creation of homogeneous groups and segmentation of the reference market
AUTONOMY OF JUDGMENT:
- independently decides which type of sample survey to use and which estimator to use for estimating a population parameter
- decide independently which type of quality control to use by choosing between offline methods and online methods
- understand, interpret and provide a critical evaluation of the results both in the field of quality control and in the estimation of a multiple linear regression model
- expresses analytical and summary considerations on the aspects in oral form
fundamental principles of the discipline and makes interdisciplinary connections.
COMMUNICATION SKILLS:
- uses the language of business statistics appropriately and appropriately;
- communicates the results of the statistical analyzes and the logical reasoning below in writing and orally.
ABILITY TO LEARN
- carries out individual and group research on specific aspects of the discipline
(tools used: notes, in-depth texts, group exercises in a multimedia classroom using the R software)
finance, marketing and sales, research and development. Alongside the study of methodologies, ample space will be given to applications and operational aspects using the statistical software R.

EXPECTED LEARNING RESULTS
The areas of reference for knowledge and understanding abilities concern:
- knowing how to collect a growing amount of data relating to business management
- the acquisition of fundamental statistical tools for the management and quality control
- know how to identify the company positioning in the market through the creation of homogeneous groups and segmentation of the reference market