The exams/tests for the evaluation of the course will be carried out only on the scheduled dates, except in exceptional cases subject to the criteria of the teacher.
The course will be considered approved when the total mark for the course is at least 5 points out of 10, and the minimum mark for the mixed tests has been exceeded.
Students who pass the course at the first opportunity, are not allowed to go to the second opportunity.
Group tutoring will be given outside of normal class hours. The schedule will be communicated to each group well in advance.
The evaluation criteria are the same for all evaluation opportunities. Second opportunity: The evaluation criteria are the same for all evaluation opportunities, so the final exam, considered as a Mixed Test, will continue to be 70% of the grade. To achieve 100% of the grade in this second opportunity, the teacher will indicate which evaluation activities will be necessary to carry out. Students who want to opt for this option must take into account that the final mark of the continuous evaluation will be the one obtained in this second opportunity, losing the one obtained in the first.
The evaluation conditions of the advanced opportunity will be specific to this opportunity, which will be evaluated through a single mixed test, which will mean 100% of the final qualification.
Students with part-time dedication or academic waiver of class attendance will be evaluated with the same criteria as full-time students.
Qualification of not presented: Corresponds to the student, when he only participates in evaluation activities that have a weighting of less than 20% of the final grade, regardless of the grade achieved.
It is prohibited to access the exam room with any device that allows communication with the outside and / or storage of information.
The student must prove his personality in accordance with current regulations.

Tutorials and small group tutorials will always be done non-face-to-face.

Learning outcomes	Study programme competences
Knowing and understanding the fundamental concepts of Data Analysis and Statistics.	A1 A3 A6 A21	B1 B2 B3 B5 B7 B9 B11 B12	C1 C2 C5
Understanding and knowing how to apply the basic tools and instruments of a quantitative nature necessary for the obtaining, diagnosis and analysis of business information and its economic and social environment	A2 A5 A8 A9	B4 B6 B10 B13 B14	C4 C6
Knowing and understanding the management of the basic techniques of Data Analysis and Descriptive Statistics.	A6	B3 B8
Handling the fundamental concepts of Probability Calculation.	A8 A9	B4 B5
Knowing and understanding the fundamental concepts of Data Analysis and Statistics.	A4 A11 A12		C7 C8
Knowing and understanding the fundamental concepts of Probability Calculation	A4 A5 A12	B10	C3 C4

Topic	Sub-topic
STATISTICAL TECHNIQUES OF DATA DESCRIPTION	- Statistical analysis of a variable - Statistical analysis of two variables - Regression and correlation - Time series - Index numbers
PROBABILITY THEORY	- Introduction to probability - Random variables - Main probability distributions - Convergence and central limit theorem

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Guest lecture / keynote speech	A1 A2 A3 A4 A5 A6 B3 B4 B5 B14 C1 C2	14	28	42
Workshop	A8 A11 A12 B1 B2 B6 B7 C5 C6	20	40	60
ICT practicals	A9 A21 B8 B9 B10 B12 B13 C3 C4 C7	4	8	12
Mixed objective/subjective test	B11 C8	3	12	15
Collaborative learning	A3 A21 B1 C5 C6	5	15	20

Personalized attention		1	0	1

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Guest lecture / keynote speech	Lesson taught by the teacher that may have different formats (theory, problems and / or general examples, general guidelines of the subject ...). The teacher can count on the support of audiovisual and computer media and the introduction of some questions aimed at students. The objective is to introduce students to the concepts of the subject, thus transmitting the knowledge base that students need to start their work and start their learning.
Workshop	In these classrooms the main objective will be the realization of eminently practical tasks, with the support and supervision of the teaching staff: proposal and resolution of applications of theory, problems, exposition, debate or commentary of exercises, clarification of gifts on theory, etc. However, it is also possible for the teacher to present some concepts, an exhibition aimed mainly at making their application clear or in any case as a complement to the master sessions. Observation: to count the time that will be dedicated to the workshop, it will be taken into account that occasionally a part of a face-to-face hour can be divided between workshop and oral test.
ICT practicals	In these classrooms the main objective will be the performance of eminently practical tasks, with the support and supervision of the teaching staff. It will work with the support of the computer, and will be reserved for topics or concepts in which the intensity of the calculations recommends it. In a transversal way, students will also be introduced to work in Statistics with computers.
Mixed objective/subjective test	Written test used for learning assessment. In it you can combine different question formats such as exercises, short answer questions, test, ... The final objective is that, by providing the expected response, the student develops his reasoning capacity and the teacher has an instrument for evaluating the knowledge, skills, performance and abilities of the student.
Collaborative learning	Joint work of the students, organized in groups, in the resolution of tasks assigned by the teacher to optimize both their own learning and that of the other members of the group. Several group tutoring sessions will be dedicated (outside the usual class hours) in which the teaching staff will interact with the students to facilitate the development of tasks, the time that the students expose their doubts and / or the difficulties with which they find themselves in the realization of the same. In this way, a debate is created between them, their peers and the teacher that fosters the interrelation at work and the critical spirit.

Methodologies	Competencies	Description	Qualification
Workshop	A8 A11 A12 B1 B2 B6 B7 C5 C6	Durante os diferentes obradoiros desenvolveranse probas e exercicios prácticos de dous tipos. Exercicios tipo I) Exercicios individuais que os alumnos realizarán a proposta do profesor. Exercicios tipo II) Exercicios en grupo que se basearán en boletíns proporcionados polo profesor e outras actividades complementarias. Neste apartado o profesor pode realizar, se o cree adecuado, unha ou varias probas teórico-prácticas de corta duración de un o varios temas da asignatura.	20
Mixed objective/subjective test	B11 C8	As probas mixtas (unha ou mais de unha) avaliarán todos os contidos da asignatura. Será necesario obter unha nota mínima, definida polo profesor/a, como requisito para superar a asignatura, así como para que computen as restantes actividades que se avalían.	70
Collaborative learning	A3 A21 B1 C5 C6	Desenvolvemento dun traballo (ou tarefas) en grupo.	10

Assessment comments
The exams/tests for the evaluation of the course will be carried out only on the scheduled dates, except in exceptional cases subject to the criteria of the teacher. The course will be considered approved when the total mark for the course is at least 5 points out of 10, and the minimum mark for the mixed tests has been exceeded. Students who pass the course at the first opportunity, are not allowed to go to the second opportunity. Group tutoring will be given outside of normal class hours. The schedule will be communicated to each group well in advance. The evaluation criteria are the same for all evaluation opportunities. Second opportunity: The evaluation criteria are the same for all evaluation opportunities, so the final exam, considered as a Mixed Test, will continue to be 70% of the grade. To achieve 100% of the grade in this second opportunity, the teacher will indicate which evaluation activities will be necessary to carry out. Students who want to opt for this option must take into account that the final mark of the continuous evaluation will be the one obtained in this second opportunity, losing the one obtained in the first. The evaluation conditions of the advanced opportunity will be specific to this opportunity, which will be evaluated through a single mixed test, which will mean 100% of the final qualification. Students with part-time dedication or academic waiver of class attendance will be evaluated with the same criteria as full-time students. Qualification of not presented: Corresponds to the student, when he only participates in evaluation activities that have a weighting of less than 20% of the final grade, regardless of the grade achieved. It is prohibited to access the exam room with any device that allows communication with the outside and / or storage of information. The student must prove his personality in accordance with current regulations. Tutorials and small group tutorials will always be done non-face-to-face.

Basic
	Casas Sánchez, J. M. e outros (2010). Estadística para las ciencias sociales. Madrid, Ed. Centro de Estudios Ramón Areces Casas Sánchez, J. M. e outros (2006). Ejercicios de estadística descriptiva y probabilidad para economía y administración de empresas. Madrid, Pirámide Casas, J. M. e Santos, J. (2002). Introducción a la Estadística para la administración y dirección de Empresas. Madrid, Ed. Centro de Estudios Ramón Areces Martín-Pliego, F. J. e Ruiz-Maya, L. (2004). Estadística I: Probabilidad. Madrid, Thomson Castillo, I. e Guijarro, M. (2006). Estadística descriptiva y cálculo de probabilidades. Madrid, Pearson Prentice Hall Martín-Guzmán, P. e outros (2006). Manual de Estadística: Descriptiva. Madrid, Ed. Civitas Martín-Pliego, F. J., Montero, J. M. e Ruiz-Maya, L. (2006). Problemas de probabilidad. Madrid, Thomson Esteban García, J. e outros (2004). Estadística descriptiva y nociones de probabilidad. Madrid, Thomson Montiel, A. M., Rius, F. e Barón, F. J. (1997). Elementos básicos de Estadística económica y empresarial. Madrid, Prentice Hall Martín-Pliego, F. J. e Ruiz-Maya, L. (2006). Fundamentos de probabilidad. Madrid, Thomson Martín-Pliego, F. J. (2007). Introducción a la Estadística económica y empresarial. Teoría y práctica. Madrid, Thomson Peña, D. e Romo, J. (2003). Introducción a la Estadística para las ciencias sociales. Madrid, McGraw-Hill Peña, D. (2008). Fundamentos de Estadística. Madrid, Alianza Editorial
Complementary
	Arnaldos, F. e outros (2002). Estadística descriptiva para economía y administración de empresas. Madrid, AC Canavos, G. C. (1988). Probabilidad y Estadística. Aplicaciones y métodos. México, McGraw-Hill Cao Abad, R. e outros (2001). Introducción a la Estadística y sus aplicaciones . Madrid, Pirámide Casas, J. M. (2000). Estadística I. Probabilidad y distribuciones. Madrid, Ed. Centro de Estudios Ramón Areces Escuder, R. e Murgui, J. S. (2011). Estadística aplicada: economía y ciencias sociales. Valencia, Ed. Tirant lo Blanch García-Carro Peña, B., Sánchez Sellero, M. C. e Martínez Filgueira, X. M. (2003). Curso práctico de probabilidad con aplicaciones económicas. Coruña, Universidade da Coruña Gonick, L. e Smith, W. (2001). A Estatística ¡en caricaturas!. SGAPEIO e Harper Collins Newbold, P. (1997). Estadística para los negocios y la economía. Madrid, Prentice Hall Peña, D. (2000). Estadística. Modelos y métodos: I. Fundamentos. Madrid, Alianza Peralta Astudillo, M. J. e outros (2007). Estadística. Problemas resueltos. Madrid, Pirámide Pérez, C. (2002). Estadística aplicada a través de Excel. Madrid, Pearson Educación Pérez Suárez, R. (coord.) (1993). Análisis de datos económicos: Métodos descriptivos. Madrid, Pirámide Riobóo, J. M. e Pío del Oro, C. (2000). Representaciones gráficas de datos estadísticos. Madrid, AC Sanz, J. A. e outros (1996). Problemas de Estadística descriptiva empresarial. Barcelona, Ariel Uriel, E. y Muñiz, M. (1988). Estadística económica y empresarial. Madrid, AC