LEARNING OBJECTIVES
The course pursues the general objective of the degree course 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. 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, 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 degree course) 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
At the end of the course, students will be able to
- recognize and distinguish the different sources of statistical information, internal and external to the company
- know the principles underlying the preparation of a sample survey
- know and understand the logic for the construction of estimators in the case of simple random sampling and stratified sampling
- know and understand the logic of statistical quality control
- know and understand 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)
At the end of the course, students will be able to
- 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 position in the market through the creation of homogeneous groups and segmentation of the reference market
AUTONOMY OF JUDGMENT:
At the end of the course, students will be able to
- independently decide which type of sample survey to use and which estimator to use for estimating a population parameter
- decide independently which type of quality control tool 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
- express considerations on the fundamental principles of the discipline and makes interdisciplinary connections.
COMMUNICATION SKILLS:
At the end of the course, students will be able to
- use the language of business statistics appropriately;
- communicate the results of the statistical analyses and the logical reasoning both in written and oral form.
ABILITY TO LEARN
At the end of the course, students will be able to
- carry 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)