Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
Belonging course: 
Course of Bachelor's Degree Programme on TOURISM FIRMS MANAGEMENT
Disciplinary sector: 
Year of study: 
First Semester
Hours of front activity: 


Italian language

Course description

The course introduces the tools and methods for statistical analysis of the tourist phenomena, with a special focus on techniques of descriptive statistics and inferential statistics. The course provides all basic statistical skills and clarifies how this can be used to predict and analyze tourist flows.

Knowledge and understanding
The student will demonstrate knowledge of the descriptive and inferential statistical tools to model and solve economic and business problems.

Applying Knowledge and understanding
The student has to be able to apply the statistical techniques to real economic, business and financial problems. In particular, In particular, the student has to be able to describe quantitative phenomena by appropriate statistical indicators (mean and variability) and graphic representations. At the same time, the student has to be able to evaluate sampling results in inferential terms.

Making judgments
The student has to be able to identify the appropriate statistical tools related to the tourism sector.

The student has to be able to answer the oral test questions, showing his ability to express and formalize statistical concepts. He has to be able to explain the techniques learned to solve the questions of the written exam.

Lifelong learning skills
The student has to develop the ability to use statistical tools to solve application problems.


The mathematics examination is required


I Block (24 hours).
Statistics for tourism: definitions and basic concepts. The statistical measure of tourism. Estimation of tourism-related productive activities. The supply side approach. Statistical survey and statistical sources about tourism supply and demand.
Statistical analysis of tourism phenomenon and process. Distribution of statistical variables and graphics. Summary and descriptive statistics: means and variability.

II Block (24 hours).
Statistical relationship between two variables. Linear regression model.

Teaching Methods

The course includes frontal and exercises aimed at the use of statistical methods studied, with students interaction.


ANDERSON D.R., SWEENEY D.J., WILLIAMS T.A – Statistics for Business and Economics, South-Western Cengage Learning.
Lessons' slides downloadable from teacher personal web page

Learning assessment

The assessment is based on written examination and an oral examination. The written text (duration 60 minutes) is composed of 3 exercises in order to assess the achievement by the student of the learning objectives.
The maximum score that can be reached for each exercise is 10 points. The first exercise assess the students knowledge on the topics of descriptive statistic; the second and third exercise are focused on associations of dependence and interdependence between variables. The oral exam focuses on the theoretical topics dealt with during the course and it is designed to evaluate the student's ability to express and formalize statistical concepts.
Only those who have passed the written test with a minimum vote of 18/30 can hold the oral test. The vote of the examination is results of written and oral examination.

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