General information

Subject type: Basic

Coordinator: Judith Turrión Prats

Trimester: Third term

Credits: 6

Teaching staff: 

Jose Maria Raya Vilchez

Teaching languages

  • Catalan
  • Spanish
  • English

There may be materials in English and Catalan.


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.

General competencies
  • CG1. Be able to work in a team, actively participate in tasks and negotiate in the face of dissenting opinions until reaching consensus positions, thus acquiring the ability to learn together with other team members and create new knowledge.

  • CG2. Be able to generate ideas and solve problems, both individually and collectively.

  • CG3. Be able to innovate by developing an open attitude to change and be willing to reevaluate old mental models that limit thinking.

  • CG4. Be able to integrate the values ​​of social justice, equality between men and women, equal opportunities for all and especially for people with disabilities, so that the studies of Tourism and Leisure Management contribute to train citizens for a just, democratic society based on a culture of dialogue and peace.

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

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

  • 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.

  • CT7. Develop the ability to assess inequalities due to sex and gender to design solutions.


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

Ability to recognize, become familiar with and use statistical techniques when making market decisions. 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:

  • How do you know what the most profitable action is? And the riskiest?
  • Which action presents a more symmetrical price distribution?
  • Can we know the profitability of a year of education?
  • How do we know which company spends the most on advertising? Are sales and advertising associated?
  • How much does the price of a home in Barcelona increase by increasing its area by one square meter?
  • Can we criticize the housing price index made by the Ministry of Housing?
  • How could we build an index of the evolution of the price of housing that takes into account that the homes that are sold every year are not the same?
  • How much is the seasonal effect of August for the entry of tourists into Catalonia?
  • What is the expected value that an entrepreneur will get when deciding whether or not to raise the price?
  • How is the probability that an individual is in the upper income bracket of personal income tax if we know that income in Spain follows a certain normal distribution?
  • What can we extract from the analysis of a customer text?



Topic 1



  • Basic concepts: population, sample, sampling type, variables, variable types, data and data types. Text mining.

Topic 2

One-dimensional statistics

  • Centralization measures
  • Dispersion measures
  • Symmetry measurements
  • Measures of kurtosis
  • Case 1: marketing company

Topic 3

Two-dimensional statistics

  • Association of quantitative variables: linear regression
  • Association of qualitative variables
  • Case 2: relationship between sales and advertising

Topic 4

Time series

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

Topic 5


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

Evaluation system

The quarterly evaluation will take into account the following aspects with the weights indicated:
- SE4. Final exam of term: 60%. Minimum grade 3.5 out of 10.
- SE2. Database work: 30%
- SE2. 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.

A student who has not applied for the first call CANNOT apply for recovery.



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

SPIEGELHALTER, D. (2019). The Art of Statistics: Learning from Data. Pelican books. 


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