Titulación Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores

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1 Guía Docente BASIC STATISTICS FICHA IDENTIFICATIVA Datos de la Asignatura Código Titulación Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores Nombre Carácter Ciclo Basic Statistics Formación Básica Grado Curso 1º Créditos ECTS 6.0 Materia Centro Estadística Centro Universitario EDEM Curso académico Professor/Profesorado Nombre Alicia Coduras Martínez Departamento 110 Economía Aplicada Horario de Tutorías: lunes de 15 a 17h Estadística Básica Grado en ADE para Emprendedores Página 1

2 SUMMARY / RESUMEN Basic Statistics is a basic course scheduled during the second semester of year 1 with a total workload of 6 ECTS or credits. This introductory course is needed in order to provide the students with the understanding of the descriptive statistics and the fundaments of probability theory needed for making descriptive reports on the economic environment, for market analysis, for decision taking and for subsequent courses (Inference and Econometrics). In a degree aimed to academically train future entrepreneurs, administrators and directors of companies, able with their management to contribute to economic and social development, Basic Statistics is an essential matter for the analysis of numerical data coming from measurements, observation or the design and development of new business initiatives that lead these efforts. This course will introduce the basic concepts of descriptive statistics and probability theory which will form the basis for the study of inference the next course. The subject is also useful for other subjects such as the analysis of financial statements, market research fundamentals, econometrics, quality and environment management, methods for the analysis of business information, prospective, decision making, financing, survey methodology and others. The course is divided into two basic parts: descriptive and probability. The first part is devoted to descriptive analysis of variables and statistical data, both single-dimensional and multidimensional. Regression techniques are explained and they are also developed themes of special interest in the field of the economy, as it is the case of measures of inequality, economic indicators and time series. The second part includes the issues related to the theory of probability aimed to provide instruments that make it possible to work under uncertainty conditions. Probability theory and models, both singledimensional and multidimensional are taught. The objective of this course is to provide students with an understanding of: The origin and usefulness of Statistics The concept of variable and different types of variables The information contained in single-dimensional and multidimensional distributions The measures of position, dispersion and shape or profile The relationship among variables The fundaments of the Theory of Probability The main distributions and models of probability Estadística Básica Grado en ADE para Emprendedores Página 2

3 PRIOR KNOWLEDGE / CONOCIMIENTOS PREVIOS Relación con otras asignaturas de la misma titulación Restrictions of registration with other subjects of the curriculum have not been specified. Otros tipos de requisitos Previous requisites have not been specified, although it is recommended to have approved the subject of mathematics. COMPETENCES / COMPETENCIAS BASICS: Take responsibility for addressing this subject with an open mind and a good predisposition Take awareness of the importance of quantitative reasoning in decision making as a complement to qualitative criteria Analysis and synthesis Organization and planning Decision making Familiarization with the specific mathematical language that is used in the setting of basic statistics Teamwork Critic and auto critic thinking Self-study Adaptation Creativity Coordination SPECIFIC: The ability to find, collect and analyze information from different sources The ability to apply mathematical and analytical methods for the analysis of economic and business problems The ability define, expose and solve problems in a systemic way The ability to self-express in formal, graphical and symbolic languages The capacity to understand how to make decisions in environments of certainty and uncertainty The ability to plan, organize, control and evaluate the implementation of business strategies Estadística Básica Grado en ADE para Emprendedores Página 3

4 To develop a critical capacity on the Spanish and international economic news. PERFORMANCE OBJECTIVES / RESULTADOS DEL APRENDIZAJE STUDENT PERFORMANCE OBJECTIVES Upon completion of this course, students will be able to: Recognize an economic or business problem from the observation of the economic reality Manage the basic quantitative tools and apply them to the economic and business environment Use statistical software to get descriptive and probabilistic results Interpret results derived from the application of descriptive and probability techniques and methods Students will get the ability to select a theoretical frame of reference to develop different types of analyses Students will get the knowledge and understanding of the basic tools of quantitative nature for the analysis, diagnosis and economic prospection Identify, classify, reason, argue and interpret the relationships between economic variables Understanding of the Theory of Probability and practical use for decision taking Be capable of applying different methods and techniques of analysis under uncertainty COURSE CONTENTS / DESCRIPCIÓN DE CONTENIDOS Item 1. Analysis of cross-sectional data 1. Introduction 2. One-dimensional data: measurements of position, dispersion and shape or profile 3 Measures of inequality Item 2. Multidimensional data analysis 1. Multidimensional data: joint and marginal distributions 2 Vector of average values and variances-covariance s matrix 3 Relationships between variables Estadística Básica Grado en ADE para Emprendedores Página 4

5 Item 3. Regression analysis 1. Introduction 2. Last squares linear regression 3. Analysis of the goodness-of-fit Item 4. Time series analysis 1. Introduction 2. Economic indexes 3. Time series Item 5. Univariate probability models 1. Revision of the mathematics of probability theory 2. Random variables. Probability distributions 3. Discrete and continuous distributions 4. Hope and variance. Properties Item 6. Specific univariate probability models 1. Specific discrete models 2. Continuous specific models Item 7. Multivariate probability models 1. Introduction 2 Distribution of joint probability and marginal probability distributions, conditional distributions 3. Vector of average values and variances matrix. Properties 4. Independence. Correlation coefficient 5. Specific multivariate models WORKLOAD / VOLUMEN DE TRABAJO CLASS ACTIVITIES/ ACTIVIDADES PRESENCIALES HORAS Lectures 28.0 Complementary activities 2.0 Practical sessions 28.0 Exams 2.0 Total class activities 60.0 SELF-STUDY / ACTIVIDADES NO PRESENCIALES Individual tasks and works 10,0 Self-study 20,0 Preparation of evaluation activities 20,0 Preparation of lectures 15,0 Preparation of practical classes, problems and group work 20,0 Resolution of practical classes 5,0 Total self-study 90,0 TOTAL 150,0 Estadística Básica Grado en ADE para Emprendedores Página 5

6 TIMELINE / CRONOGRAMA To teach the subject the following indicative timeline will be followed: TEMA / PRÁCTICA SESIÓN (Semana) Topic 1: theory. Introduction. Onedimensional 1 (week 2, ) data. Topic 1: theory and practice. Onedimensional 2 (week 2, ) data, measures of position, dispersion and shape Topic 1: theory. Measures of 3 (week 2, ) inequality or concentration. Topic 1: practice. Measures of 4 (week 3, ) inequality or concentration. Topic 2: theory. Multidimensional 5 (week 3, ) data: joint and marginal distributions. Topic 2: practice. Multidimensional 6 (week ) data: joint and marginal distributions. Topic 2: theory. Vector of average 7 (week 4, ) values and variances matrix. Relationships between variables. Topic 2: practice. Vector of average 8 (week 4, ) values and variances matrix. Relationships between variables. Topic 3: theory. Introduction to 9 (week 5, ) regression analysis. Minimum quadratic linear regression. Topic 3: practice. Introduction to 10 (week 5, ) regression analysis. Minimum quadratic linear regression Topic 3: theory and practice. 11 (week 5, ) Analysis of the goodness of fit. Topic 4: theory. Introduction. 12 (week 6, ) Economic indexes. Topic 4: practice. Introduction. 13 (week 6, ) Economic indexes. Topic 4: theory. Time Series 14 (week 7, ) Topic 4: practice. Time series 15 (week 7, ) First partial test 16 (week 7, ) Topic 5: theory. Review of the 17 (week 8, ) mathematical theory of probability. Topic 5: theory. Random variables. 18 (week 8, ) Probability distributions. Topic 5: practice. Probability, 19 (week 9, ) random variables and probability Estadística Básica Grado en ADE para Emprendedores Página 6

7 distributions. Topic 5: theory. Discrete and continuous distributions. Hope and variance. Properties. Topic 5: practice. Discrete and continuous distributions. Hope and variance. Properties. Topic 6: theory and practice. Specific discrete models. Topic 6: theory and practice. Continuous specific models. Topic 7: theory. Multivariate probability models. Introduction. Distribution of joint probability and marginal probability distributions, conditional distributions. Topic 7: practice. Multivariate probability models. Introduction. Distribution of joint probability and marginal probability distributions, conditional distributions. Topic 7: theory. Independence. Correlation coefficient. Specific multivariate models. Topic 7: practice. Independence. Correlation coefficient. Specific multivariate models. Practice: statistical information on entrepreneurship Sesión de reserva, repaso y resolución de dudas. Previsión de cambio de sesión por Visita de empresa. Sesión de reserva y entrega de trabajos en grupo. Previsión de cambio de sesión por visita de empresa. Final test: first call of second part and first part recovering Final test: second call 20 (week 10, ) 21 (week 10, ) 22 (week 10, ) 23 (week 11, ) 24 (week 11, ) 25 (week 13, ) 26 (week 13, ) 27 (week 14, ) 28 (week 15, ) 29 (week 15, ) 30 (week 16, ) Monday 26th-May-2014 Monday 30th-July-2014 TEACHING METHODOLOGY / METODOLOGÍA DOCENTE Basics Statistics is taught in English. The subject is primarily structured around theoretical sessions, practical sessions and the realization of a group work. Different teaching methods will be used depending on the type of session. However, the approach will be participatory and active as frequent Estadística Básica Grado en ADE para Emprendedores Página 7

8 examples and exercises will be developed after the theoretical explanations to facilitate understanding and fixing the concepts. In the theoretical sessions usually with a length of 2 hours- they will be presented the main contents of the items contextualizing them to different fields of application of the business and socio-economic environments. The predominant teaching method in theoretical classes will be the participatory master class. It will be encouraged the participation and discussion in class in order to offer the students a direct involvement with the content capturing their attention and promoting their ability to concentrate, At practical sessions, the teacher will propose students real or fictitious situations to be solved by applying the theoretical concepts learned in theory sessions. These classes will be held with the support of PSPP statistical software and also with the support of Excel. At the end of classes, selected students by shift are invited to summarize the explained contents devoting 10 minutes to this task each day. Other teaching resources will be: exercises proposed in each section to fix the concepts and to be delivered as part of the continuous evaluation; the realization of a work based on real data collected in the own classroom. This work may be approached by groups of two or three students maximum and runs throughout the whole course. It will be delivered at the end of the course as part of the continuous evaluation complementing the compulsory exercises. Student may consult the teacher about this work in the tutoring service. EVALUATION CRITERIA / EVALUACIÓN Y ASISTENCIA Evaluation of students will take place through ongoing evaluation and testing of synthesis. EVALUATION CRITERIA There are 2 examination sessions* in each course, complemented by the continuous evaluation. * Cada matrícula da derecho a dos convocatorias de examen 1. Continuous evaluation: will consist of various elements and situations. CLASS PARTICIPATION (10%) Attendance and participation is essential and all students are expected to participate. Intelligent and relevant discussions are expected from each student and it is an important part of the general evaluation of the course. Among other skills, class participation is Estadística Básica Grado en ADE para Emprendedores Página 8

9 very important to develop the ability to express and defend one s ideas. HOMEWORK (15%) Exercises are proposed in order to cover all the concepts and learning take-away. All the exercises and their delivering are specified in the subject s Manual. GROUP WORK (15%) At the beginning of the course there will be established working groups of two or maximum three students. Each group will be invited to develop a concrete work based on data collected at the classroom. This work will result in a report applying the main methods learned during the course. The groups will deliver the work by the end of the course and make a presentation of the main results obtained. SUGGESTED BOOK (5%) Finally, the students are invited to read a suggested book and deliver a summary from the reading. This work will also be evaluated and the score added to the continuous evaluation (5%). THE SUGGESTED BOOK FOR CONTIUOUS EVALUATION IS: Caceres Carrasco, Felipe Rafael. (2005). Oportunidades para Crear Empresas. Sevilla. Expandora sur ISBN It is at your disposal in the Library Center. Situation 1: As explained before, the first element of the continuous assessment is attendance, attitude and class participation (10%). Class attendance is mandatory for optimal monitoring of the subject, so that unjustified absence more than 10% of the sessions, i.e. more than 3 sessions of 30, means that a student will not be part of continuous assessment of this subject. As a result, the maximum score which can be achieved will be obtained in the test/s of synthesis. Situation 2: If a student is in a second call. Continuous evaluation is non-recoverable, therefore the score obtained during the ongoing Estadística Básica Grado en ADE para Emprendedores Página 9

10 evaluation of the subject will be maintained, both in 1st call 2nd call. The test of synthesis will be recoverable at the end of the semester. Situation 3: If a student is in second registration. Students who enroll for the second time in the subject will receive express directions of the teacher on how to overcome the continuous assessment on the subject. This part, that is, the continuous evaluation will have a weight in the final grade of the 40%. 2. Synthesis test. They consist of two partial tests plus a recovery. The first partial shall include the materials of items 1, 2, 3 and 4. By the end of the course the second test will include topics 5, 6 and 7 for those who have approved the first partial and a recovery of the first partial will be made the same day including issues 1, 2, 3, 4. It will be necessary to overcome with 5 points out of 10, both synthesis tests, taking in consideration that the mark in each of the exams is equal to 10 points, to be able to combine them with continuous evaluation. The synthesis tests are mandatory and overcome each one of them is an indispensable condition to pass the course. Synthesis tests are recoverable by July through an examination of recovery which shall comprise all matter. This part will have a weight in the final grade of the 60%. The final score of the subject is calculated by weighting the average of synthesis tests with the continuous evaluation and must reach 5 points to overcome the course. REFERENCES / REFERENCIAS CODURAS, A. (2013). Basic Statistics, Complete manual of the subject Main reference books: - NEWBOLD, P. y otros (2008). Estadística para Administración y Economía. Madrid Pearson-Prentice Hall, (6ª Edición). Estadística Básica Grado en ADE para Emprendedores Página 10

11 - MARTÍN-PLIEGO, F.J. (1987). Curso práctico de Estadística Económica. Madrid AC. - MARTÍN-PLIEGO, F.J. (2004). Introducción a la Estadística Económica y Empresarial. Madrid International Thomson. - MARTÍN-PLIEGO, F.J. y RUIZ MAYA, L. (2004). Estadística I. Probabilidad. Madrid International Thomson. (3ª edición) Complementary bibliography: - CEACES, Proyecto (Contenedor Hipermedia de Estadística Aplicada a las Ciencias Económicas y Sociales). Universitat de València. ON LINE: - ESCUDER, R. y MURGUI, J.S. (2011). Estadística Aplicada. Economía y Ciencias Sociales. Tirant lo Blanch. Valencia, (2ª edición). - ESTEBAN, J. y otros (2006). Estadística Descriptiva y nociones de probabilidad. Paraninfo, Madrid. - MURGUI, J.S. y otros (2002). Ejercicios de Estadística. Economía y Ciencias Sociales. Valencia: Tirant lo Blanch. - ANDERSON, D.R.; SWEENEY, D.J. y WILLIAMS, T.A. (2001). Estadística para Administración y Economía. Méjico International Thomson. - BERENSON, M.L.; LEVINE, D.M y KREHBIEL, T.C. (2001) Estadística para Administración. Mejico Pearson-Prentice Hall - DeGROOT, M.H. (1988). Probabilidad y Estadística. Wilmington: Addison- Wesley Iberoamericana Wilmington. - HILDEBRAND, D.K. y OTT, R.L. (1997). Estadística aplicada a la Administración y a la Economía. Wilmington: Addison-Wesley Iberoamericana. - LIND, D.A.; MARCHAL, W.G.; WATHEN, S.A. (2008). Estadística Aplicada a los Negocios y la Economía. Méjico McGraw-Hill. - MARTÍN-PLIEGO, F.J. (1987). Curso práctico de Estadística Económica. Madrid AC. - MARTÍN-PLIEGO, F.J. (2004). Introducción a la Estadística Económica y Empresarial. Madrid International Thomson. - MARTÍN-PLIEGO, F.J. y RUIZ MAYA, L. (2004). Estadística I. Probabilidad. Madrid International Thomson. (3ª edición) - MONTIEL, A.M.; RIUS, F. y BARÓN F.J. (1997). Elementos básicos de Estadística Económica y Empresarial. Madrid Prentice Hall. - NEWBOLD, P. y otros (2008). Estadística para Administración y Economía. Madrid Pearson-Prentice Hall, (6ª Edición). - SHELDON M. ROSS (2007): Introducción a la Estadística. Barcelona Reverté. Estadística Básica Grado en ADE para Emprendedores Página 11