TecnoCampus Foundation
eCampus
University Business
eCampus

What are you looking for?

General information

Subject type: Basic

Coordinator: Alex Araujo Batlle

Trimester: Third term

Credits: 6

Teaching staff: 

Josep Mª Raya Vilches

Skills

Basic skills

  • CB1. That students have demonstrated knowledge and understanding in a field of study that is based on general secondary education, and is usually found at a level that, while supported by advanced textbooks, also includes some aspects. involving knowledge from the forefront of their field of study.

  • CB5. That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.

Specific skills

  • CE4. Turn an "empirical" problem into a research project and draw conclusions.

Transversal competences

  • CT1. Communicate properly orally and in writing in the two official languages ​​of Catalonia.

  • CT2. Show willingness to learn about new cultures, experiment with new methodologies and encourage international exchange.

  • CT3. Formulate critical and well-argued reasoning, using precise terminology, specialized resources and documentation to support these arguments.

  • CT4. Demonstrate entrepreneurial leadership and leadership skills that build personal confidence and reduce risk aversion.

  • CT5. Master the main applications of computer tools and new technologies for ordinary academic activity.

  • CT6. Carry out tasks autonomously with the correct organization and timing of academic work.

Description

Ability to recognize, become familiar with and use statistical techniques when making market decisions in the tourism sector. All this approach will make compatible the ability to manually calculate the various tools for a small set of data with the ability to use and analyze and interpret the outputs of statistical software. Some questions that will be solved throughout the course with what we will know: How do we know if the salaries of an AAVV are high or not? Are these salaries very similar or are they very scattered? Are hotel reservations and final room occupancy associated? What does the Google correlate tool tell us? Can we know the profitability of a year of education? How much does the price of a tourist home in Barcelona increase when its surface area increases by one square meter? How much is the seasonal effect of August for the number of tourists in Catalonia? to raise the price or not? How is the probability that a tourist blog will have 1000 visits tomorrow if we know that visits to blogs in Spain follow a certain normal distribution? What are the main sources of tourist data? Can we know the personality of a tourist from the text he writes on social media?

NOTE: This subject has methodological and digital resources to make possible its continuity in non-contact mode in case it is necessary for reasons related to the Covid-19. In this way, the achievement of the same knowledge and skills that are specified in this teaching plan will be ensured. The Tecnocampus will make available to teachers and students the digital tools needed to carry out the course, as well as guides and recommendations that facilitate adaptation to the non-contact mode.

Learning outcomes

• Apply qualitative and quantitative statistical techniques for market research
• Plan, organize, carry out and present a market research project in the business field of the tourism sector and use the results obtained for decision making

Working methodology

The face-to-face sessions with the whole group will combine theory sessions with hand-held exercise resolution sessions and through case studies with data from real companies.

In the practical sessions students will work on exercises and databases with the Minitab / SPSS / R program (to be determined). You will need to bring a laptop to the classroom.

There will be a conference by a professional who uses Statistics applied to the tourism sector. Whether in market research, big data or strategic positioning.

Contents

Topic 1

 

Introduction

  • Tourism data sources
  • Basic concepts: population, sample, sampling type, variables, variable types, data and data types

Topic 2

One-dimensional statistics

  • Centralization measures
  • Dispersion measures
  • Symmetry measurements
  • Measures of kurtosis
  • Case 1: travel agency

Topic 3

Two-dimensional statistics

  • Association of quantitative variables: linear regression
  • Association of qualitative variables
  • Case 2: relationship between reserves and employment

 

Topic 4

Time series

  • Components of a time series
  • Seasonalization of a time series
  • Case 3: series analysis of tourists

 

 

Topic 5

Probability

  • Basics
  • Discrete distributions: binomial distribution
  • Continuous distributions: normal distribution

Learning activities

Data mining exercises. Individual (Inside and outside the classroom)

Exercise Descriptive statistics. Individual (Inside and outside the classroom)

Descriptive statistical test. Individual (Inside and outside the classroom). Virtual

Exercise association between quantitative variables. Individual (Inside and outside the classroom)

Exercise association between quantitative variables. Individual (Inside and outside the classroom)

Exercise of time series. Individual (Inside and outside the classroom)

Association test between quantitative and qualitative variables and time series. (In and out of the classroom). Virtual

Binomial distribution exercise. Individual (Inside and outside the classroom)

Normal distribution exercise. Individual (Inside and outside the classroom)

Probability test. (In and out of the classroom). Virtual

Work with computer software. Group (Inside and shape of the classroom)

Personal study

 

The course will be conducted following a hybrid model that will be specified session by session in a schedule that will be delivered on the first day of class. The sessions will be face-to-face, face-to-face for one part of the group and synchronous streaming on the other, and face-to-face for one part of the group and asynchronous for the other. 

If for reasons of force majeure during the course can not be developed with the hybrid model, see the schedule of the course and group which includes the effects on training activities, methodology and evaluation online model.

If, as a result of the delay in university pre-registration, or health problems that prevent follow-up due to hospital isolation, the student joins the classroom after more than 50% of the term, a single assessment at the School

 

Evaluation system

The quarterly evaluation will take into account the following aspects with the weights indicated:
- Final term exam: 60%
- Work with database: 30%
- Delivery of exercises and proposed practices: 10% 

There will be a recovery at the start of the next quarter. Only the exam will be retaken. The other 40% will maintain the quarterly assessment mark

REFERENCES

Basic

RAYA, J. (2004). Statistics applied to Tourism. Prentice hall

RAYA, J. (2012): Statistics applied to business and marketing. Prentice Hall

MOORE, Mc. CABE (2005), Introduction to the practice of Statistics. Freeman

SPIEGELHALTER, D. (2019): The art of statistics: learning by data. Pelican

Complementary

NEWBOLD, PAUL, Carlson, W., Thorne, W. (2007), Statistics for Business and the Economy, 6th edition, Madrid, Prentice Hall.

FREEDMAN, P. (1991). PURVES, R., PISANI, R. and ADHIKARI. Statistics. 2ªed. Antoni Bosch.

RADZIWLL, CN (2015). Statistics with R: (the Easier Way). Lapis Lucera.