Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
Belonging course: 
Course of Bachelor's Degree Programme on ECONOMIA E MANAGEMENT
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Year of study: 
First Semester
Hours of front activity: 



Course description

The course aims to provide the necessary skills to carry out statistical-quantitative analyses of collective economic phenomena. During the course, students will acquire the basic statistics concepts relating to the organisation and description of data. They will acquire the skills to use probability theory, random variables, and inferential theory. Students are therefore required to study the main concepts of statistics, descriptive and inferential, and the ability to apply these statistical tools to economic and business problems.
Expected learning outcomes:
Knowledge and skills of comprehension: The teaching of Statistics for economics aims to provide the conceptual and methodological foundations of statistics useful for collecting, processing and interpreting business and economic data. Knowledge and comprehension skills are mainly acquired through the student's active participation in lectures and individual study.
Ability to apply knowledge and understanding: The student must demonstrate the ability to detect, process and interpret data. The course, also through the use of a wide range of examples and applications, is aimed at providing tools for analysing and evaluating economic and business phenomena.
Autonomy of judgement: The student will have to demonstrate that he/she has developed autonomy of judgement through participation in the discussions and interventions prompted by the lecturer during the lectures. Therefore, he/she will be able to justify his/her choices in the analysis phase as well as to interpret the results obtained in the light of the cognitive problem addressed.
Communication skills: The student will be expected to demonstrate an understanding of the proposed topics and methodology, illustrate the content clearly and appropriately, and apply it in business and economic contexts.
Learning ability: The student can autonomously identify the most suitable statistical methodologies and tools to solve real cases in specific economic-business contexts. The ability to learn will be stimulated by administering exercises to verify the effective understanding of the topics covered.


Knowledge of mathematics' basic tools.


I Part (36 hours):
Descriptive statistics: classification of characters (aggregated and disaggregated data, absolute, relative and cumulative frequencies); graphical representations of data; measures of central tendency (mean, median, quantiles); measures of variability (range of variation, interquartile range, deviance, variance, standard deviation, coefficient of variation); concentration; association analysis (dependence, independence, interdependence);

II Part (36 hours):
Statistical inference: basic concepts of probability and random variables; probability distributions; sampling and sample distributions; interval estimation; statistical test theory.

Teaching Methods

The teaching activity consists of 72 hours of lectures, covering all theoretical topics and illustrating the methods for solving the exercises. Exercises may be assigned during the course, either for individual study or to be solved in the classroom, which are then corrected and discussed during the lecture hours (and, if necessary, during the reception hours provided by the lecturer). The conduct of the exercises is guided by the lecturer and tends to develop and strengthen the student's ability to identify the most suitable techniques for application. Active participation in the lessons is strongly recommended.


Borra, S., Di Ciaccio, A., Statistica. Metodologie per le scienze economiche e sociali (IV edizione). McGraw-Hill

Quintano C., Castellano R. (2003), La Statistica in pratica: Esempi per l’Economia e le Aziende, Liguori.

Learning assessment

The written test lasts 2 hours and consists of 4 exercises covering the entire course programme. Each question is awarded a maximum mark of 7.5. A minimum of 18 is required to pass the written test. An oral test supplements the written test to discuss the written assignment and/or an in-depth assessment of all topics in the syllabus. The oral examination covers the topics covered in the lectures and is designed to verify the achievement of the learning objectives. The final mark is obtained as the average of the written and oral test marks.
During the course, there are 2 inter-course tests (each lasting 1 hour): the first at the end of the descriptive statistics part of the programme, and the second at the end of the inferential statistics part. Both tests consist of 2 exercises. The final mark will be determined as the average of the marks from the two inter-course tests. The oral examination will then supplement this grade. If the student fails the first test, he/she will not be allowed to take the second test. If the student does not pass the second test, he/she will have to take the whole examination in one of the available examinations date.

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