OVERVIEW

The Tourism Statistics course aims to explore simple statistical tools for analyzing data in the tourism sector. You will learn how to collect, analyze, and interpret data to understand the characteristics and trends in the tourism industry

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide basic knowledge of the main statistical tools for the collection and analysis of tourism data and of the main sources of statistical information about tourism.

AIMS AND LEARNING OUTCOMES

At the end of the course, students will:

• Know the main tools for summarizing and presenting data through the acquisition of key descriptive statistics tools.
• Be familiar with the primary sources of tourism data.
• Be able to choose appropriate techniques based on the type of data to be analyzed.
• Be capable of performing basic descriptive analyses for univariate and bivariate phenomena using the main summary indices.
• Be able to find information on tourism phenomena by searching the main databases.

TEACHING METHODS

Standard lectures and exercises.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework, and exams, should speak both with the instructor and with Prof. Serena Scotto (scotto@economia.unige.it), the Department’s disability liaison.

SYLLABUS/CONTENT

DESCRIPTIVE STATISTICS

• Distribution of a variable and its representation: frequency distributions, charts
• Measures of central tendency: mean, median, mode, and percentiles
• Measures of variability
• Index numbers
• Measures of association and correlation

TOURISM STATISTICS

• Definition of a tourist
• The main sources of tourism data
• Statistics on tourism supply
• Types and classifications of tourism supply
• Key indicators of accommodation utilization
• Statistics on tourism demand

RECOMMENDED READING/BIBLIOGRAPHY

Pasetti, P. (2012), Statistica del turismo, Carocci

Borra S., Di Ciaccio A. (2021), Statistica. Metodologie per le scienze economiche e sociali, IV edizione, McGraw-Hill

TEACHERS AND EXAM BOARD

Exam Board

CORRADO LAGAZIO (President)

MARTA NAI RUSCONE

FABIO RAPALLO

LESSONS

LESSONS START

September

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written exam

ASSESSMENT METHODS

Knowledge acquisition will be assessed through open-ended questions, while the ability to apply this knowledge will be evaluated through exercises.

Exam schedule