General information

Subject type: Basic

Coordinator: Jesus Ezequiel Martínez Marín

Trimester: Second term

Credits: 6

Teaching staff: 

Catherine Llaneza Hesse

Teaching languages

  • Catalan
  • Spanish

There may be materials in Spanish, English and Catalan.


Specific skills
  • Show knowledge and skills for the coordination of the departments of purchasing, supply, production and distribution of a product to any company, analyzing different types of techniques

  • Operationalize the storage of goods, through computer applications of logistics management

  • Show knowledge of the organization of maritime, land, air and multimodal transport, customs management and international trade in order to manage and / or contract transport

  • Show knowledge of the ship and its recruitment for use as a means of transport for both goods and people, in an environment of sustainability and respect for the environment

  • Select and use quantitative instruments for decision making and contrasting economic hypotheses


Ability to recognize, become familiar with and use statistical techniques when making 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 with which we will know: How do we know which company pays a higher salary to its employees? Are men's or women's salaries more dispersed? What is the relationship between the reservations of a boat and the occupation that ultimately exists? Can we know the profitability of a year of education? How much does the price of a home in the port area of ​​Barcelona increase by increasing its area by one square meter? Is the above data statistically significant? How can we know if the price of one logistics company is statistically different from that of another?



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.



Topic 1



  • 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: transport_rrhh company

Topic 3

Two-dimensional statistics

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


Topic 4


Probability and Inference

  • Probability and probability distributions.
  • The normal distribution
  • Statistical inference
  • Sample distributions
  • Confidence intervals and contrasts of individual hypotheses: mean test, proportions, attribute independence, ANOVA ...
  • Hypothesis contrasts applied to the simple and multiple linear regression model


Evaluation system

The quarterly evaluation will take into account the following aspects with the weights indicated:
- Final term exam: 60%
- Group work with database: 30%
- Attendance, participation and behavior in class. Delivery of exercises and proposed practices: 10% 



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

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

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


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