Checking date: 13/05/2022


Course: 2022/2023

Statistical models for the tourism sector
(17612)
Study: Bachelor in Tourism (209)


Coordinating teacher: KAISER REMIRO, REGINA

Department assigned to the subject: Department of Statistics

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Introducción a la Estadística
Objectives
Students will acquire knowledge and skills necessary to: 1. Understand the basic concepts of multivariate analysis and its applications to the tourist sector. 2. Solve the problem of comparing two or more populations 3. Learn the basic concepts of cluster analysis and how to apply it at a basic level. 4. Learn the basic concepts for describing a Time Series. 5. Effective use of statistical software. Students will be able to: 1. Develop their ability to think analytically 2. Become familiar with a statistical software 3. Establish a framework to solve problems 4. Develop their interactive skills 5. Enhance their critical thinking 6. Improve their learning skills and communication
Skills and learning outcomes
Description of contents: programme
0. Review of the Simple Linear Regression model. 1. Updating the Linear Regression model.      1.1. Estimating the regression coefficients.      1.2. Diagnosis. Potential problems.      1.3. Collinearity, outliers and nonlinear relationships.      1.4. Methods of variable selection.      1.5. Qualitative predictors. 2. Hypothesis testing. Comparing two populations. 2.1. Inference for the mean and the proportion. 2.2. Inference for the population means and proportions. 2.3. ANOVA 3. Cluster analysis.       3.1. Motivation; Examples; Applications.       3.2. Hierarchical agglomerative methods; Dendrogram.       3.3. Choice of the number of clusters, assesing fit t and interpretation of clusters. 4. Descriptive analysis of time series.
Learning activities and methodology
Theory (3 ECTS): During theoretical online sessions, the contents of the course will be introduced, explained and ilustrated with examples. Teaching materials will be provided on the Internet. Practice (3 ECTS): During practical sessions, black-board exercises will be solved. Software-related activities will take place in the Virtual computer labs through laptops. In the 15th week of the term, a group-review session for the final exam will be held.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Newbold, P.. Statistics for business and economics. Prentice-Hall. 2012
Additional Bibliography
  • Sheldon Ross. Introductory Statistics. Elsevier Academic Press. 2005

The course syllabus may change due academic events or other reasons.