Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2018/2019
Belonging course: 
Course of Bachelor's Degree Programme on TOURISM FIRMS MANAGEMENT
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Language: 
Italian
Credits: 
12
Year of study: 
2
Teachers: 
Cycle: 
Annualita' Singola
Hours of front activity: 
96

Language

Italian

Course description

Learning objectives
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 that he/she has acquired knowledge relative to the probability calculation and to the main descriptive and inferential statistical tools and understand which, among those studied, best fit to model and solve analytical problems related to the tourism sector.

Applying Knowledge and understanding
The student has to be able to apply the statistical techniques to real problems related to tourism sector. 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.

Communication
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.

Prerequisites

The mathematics examination is required

Syllabus

Part I (24 hours)
Statistical analysis of tourism phenomenon and process. Distribution of statistical variables and graphics. Summary and descriptive statistics: means and variability. Statistical relationship between two variables.

Part II (24 hours)
Some topics of probability theory. Random variables and probability distributions. Sampling techniques and sampling distributions. Confidence intervals.

Part III (24 hours)
Theory of statistical test. Inference on mean, proportion and variance. Independence test. Simple linear regression model: estimate and inference.

Part IV (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. Statistical relationship between two variables. Some topics of probability theory. Random variables and probability distributions. Sampling techniques and sampling distributions. Confidence intervals. Theory of statistical test. Inference on mean, proportion, variance and regression coefficient. Independence test. Linear regression model.
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.

Teaching Methods

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

Textbooks

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 (https://elearning.uniparthenope.it/login/index.php)

Learning assessment

The assessment is based on written examination and an oral examination. The written text (duration 120 minutes) is composed of 5 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 6 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 fourth and fifth are related to random variables and statistical inference. 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.

More information