FUNDAMENTALS OF STATISTICS | TecnoCampus | Centers attached to Pompeu Fabra University and Business Park

General information

Subject type: Basic

Coordinator: Monica Juliana Oviedo León

Trimester: First term

Credits: 6

Teaching staff:

Alfredo Smilges

Skills

Basic skills

CB3. That students have the ability to gather and interpret relevant data (usually within their area of study) to make judgments that include reflection on relevant social, scientific, or ethical issues.
CB5. That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.

Specific skills

CE15. Gather and interpret meaningful data to make judgments that include reflection on relevant business issues and be able to prepare a document that allows for the transmission of information or an innovative business proposal.
CE3. Identify the qualitative and quantitative tools of analysis and diagnosis for market research.

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.

Transversal competences

CT4. Master computer tools and their main applications for ordinary academic and professional activity.
CT5. Develop tasks applying the knowledge acquired with flexibility and creativity and adapting them to new contexts and situations.

Description

• 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 with what we will know: How do we know which company spends more on advertising? Are the advertising costs of the companies very similar or are they very dispersed by sex? Are sales and advertising 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 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 followers on a twitter account? the decision to raise or not the price? How is the probability that a blog will have 1000 visits tomorrow if we know that visits to blogs in Spain follow a certain normal distribution? What can we extract from the analysis of a customer text?

Learning outcomes

Master quantitative and qualitative techniques to solve economic and / or company problems for decision making.
Understand and apply the basic concepts of probability, basic statistical calculations and the computer tools that facilitate them.

Working methodology

Theoretical sessions

MD1. Master class: Expository class sessions based on the teacher's explanation attended by all students enrolled in the subject

MD2. Conferences: Face - to - face sessions or broadcast on streaming, both in the classrooms of the university and in the framework of another institution, in which one or more specialists present their experiences or projects to the students.

Guided learning

MD5. Seminars: Face-to-face format in small work groups (between 14 and 40). These are sessions linked to the face-to-face sessions of the subject that allow to offer a practical perspective of the subject and in which the participation of the student is key.

Autonomous learning

MD9. Solving exercises and problems: Non-contact activity dedicated to the resolution of practical exercises based on the data provided by the teacher.

MD11. Non-contact tutorials: for which the student will have telematic resources such as e-mail and ESCSET intranet resources.

This subject has methodological and digital resources to make possible its continuity in non-contact mode in the case of being 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 activities

Individual work (inside and outside the classroom)

Exercise Descriptive statistics.

Descriptive statistical test.

Exercise association between quantitative variables.

Exercise of time series.

Association test between quantitative and qualitative variables and time series

Binomial distribution exercise.

Normal distribution exercise.

Probability test

Work in group

Work with computer software.

Evaluation system

The quarterly evaluation will take into account the following aspects with the weights indicated:
- SE4. Final exam of term: 60%. Minimum grade 4 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.

REFERENCES

Basic

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

Complementary

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

500112 - FUNDAMENTALS OF STATISTICS

Degree in Marketing and Digital Communities

School of Social and Business Sciences