Learning objectives

Referring to knowledge This course is designed to introduce business students to statistical inference techniques, with the aim of equipping them to apply these methods in their future professional practice to support decision-making. By the end of the course, students are expected to achieve the following objectives: — Be aware of the importance of selecting a representative sample of the population to be analysed. — Approximate the values of unknown parameters through point and interval estimation processes. — Identify the properties that verify selected estimators and the methods of application for different estimation techniques. — Understand hypothesis testing methodologies, with the aim of verifying the coherence of a previous statement regarding the behaviour of a population, based on available sample information.   Referring to abilities, skills — Use statistical inference tools for decision-making in theoretical and real situations.

 

 

Teaching blocks

 

1. Elements of sampling theory

2. Point estimation

3. Interval estimation

4. Contrasts of statistical hypotheses

5. Chi-square tests

 

 

Teaching methods and general organization

 

This subject, which has a study load of 6 ECTS credits, encompasses a variety of face-to-face learning activities that include: Face-to-face classes, 3 hours per week, focusing primarily on theoretical work. Problem-solving practical sessions, 1 hour per week, under the supervision of the same lecturer. At the beginning of the course, students are informed of all continuous assessment activities and their weighting in the calculation of the final grade. The Virtual Campus provides a space for each group where all information relating to the course is published and where independent work tutored and directed by teachers can be submitted. Students in the GIE group have already taken the subject and therefore follow a different teaching methodology. Teaching is delivered for two hours per week at midday and makes intensive use of the Virtual Campus.

 

 

Official assessment of learning outcomes

 

Continuous assessment Continuous assessment consists of two components: — Continuous assessment exercises set by the lecturer during the course. The overall mark for these exercises is worth 40% of the final grade. The dates for the activities and their weighting in the calculation of the final grade are published on the Virtual Campus at the beginning of the course. — A final examination, during the official examination period set by the Academic Board, which is worth the remaining 60% of the final grade. This multiple-choice exam is common to all groups and is designed to test the students’ knowledge of the theoretical and practical aspects of the course. The GIE group and the English-language group complete different continuous assessment activities, as explained by the lecturer at the beginning of the course. Continuous assessment students are required to:   — Submit at least 80% of the continuous assessment activities. — Obtain a mark of at least 3.5 out of 10 on the final examination. Repeat assessment The resit is a common exam for continuous and single assessment students who do not achieve a pass grade during the standard assessment period. Repeat assessment takes place on the date identified for this purpose in the Faculty’s academic calendar. It consists of a single final examination of theoretical and practical multiple-choice questions, covering the entire course content. Students must obtain a grade of 5 out of 10 or higher to pass the subject.   Examination-based assessment No explicit waiver of continuous assessment is required. Students who do not submit at least 80% of the continuous assessment activities are automatically entered for single assessment. Assessment for students who have not taken the continuous assessment option consists of a final examination of multiple-choice questions on all the theoretical and practical aspects of the course content, held during the examination period set by the Academic Board. Students must obtain a grade of 5 out of 10 or higher to pass the subject. Repeat assessment The resit is a common exam for continuous and single assessment students who do not achieve a pass grade during the standard assessment period. Repeat assessment takes place on the date identified for this purpose in the Faculty’s academic calendar. It consists of a single final examination of theoretical and practical multiple-choice questions, covering the entire course content. Students must obtain a grade of 5 out of 10 or higher to pass the subject.

Reading and study resources

Check availability in Cercabib

Book

ANDERSON, D.; SWEENEY, D. i WILLIAMS, T. Estadística para Administración y Economía(Vol 1) 7ª Ed.Ediciones Paraninfo.México,2001

Catàleg UB  

CÁNAVOS, George C.  Probabilidad y estadística: aplicaciones y métodos.  México: McGraw-Hill, 2003

Catàleg UB  

CASAS SÁNCHEZ, José M.  Inferencia Estadística para Economía.  Madrid: Editorial Universitaria Ramón Areces, 2018

Catàleg UB  

CASAS SÁNCHEZ, José M.  Estadística para las ciencias sociales.  Madrid: Centro de Estudios Ramón Areces, 2010

Catàleg UB  

CASAS SÁNCHEZ, José M. i al. Ejercicios de Inferencia Estadística y Muestreo. Ed. Pirámide, 2006

Catàleg UB  

LEVIN, Richard I.;  RUBIN, David S. Estadística para Administración y Economía. 7a. Edición. Editorial Pearson. Prentice-Hall. 2004

Versió en línia (7a ed. rev., 2010)  

LIND,  M. Estadística Aplicada  a  los Negocios y la Economía (16ª Ed). Ed. McGraw-Hill, 2015

Catàleg UB  

LLORENTE GALERA, Francisco; MARÍN FERIA, Susana; TORRA PORRAS, Salvador. Inferencia estadística aplicada a la empresa. Madrid: Centro de Estudios Ramón Areces, 2001

Catàleg UB  

LLORENTE GALERA, Francisco; MARÍN FERIA, Susana; TORRA PORRAS, Salvador.  Métodos probabilísticos para la empresa.  Madrid: Centro de Estudios Ramón Areces, 2000

Catàleg UB  

LLORENTE GALERA, Francisco et al. Diagnóstico del Sector Hotelero: cualitativo y cuantitativo. Barcelona: Ediciones Librería Universitaria, 2017

Disponible al CCUC/PUC  

MARÍN, Susana i al. Diagnóstico del Sector del Automóvil mediante técnicas estadísticas. Barcelona: Ediciones Librería Universitária, 2016.

Catàleg UB  

MARIN FERIA, S. I AL. Métodos Inferenciales aplicados a la Gestión Empresarial. Ediciones Librería Universitária: Barcelona, 2019

Catàleg UB  

MARÍN FERIA Susana, et al. Introducción a la inferencia estadística en un entorno empresarial Edición Revisada. Barcelona: Universitat de Barcelona, Ed. Rey, 2013

Catàleg UB  

MARIN FERIA, S. i AL. Datos Abiertos-Análisis Estadístico: entorno económico. Barcelona. Ediciones Libreria Universitaria, 2021

MARÍN FERIA, Susana, et al. Pràctiques informàtiques, estadística descriptiva, teoria de la probabilitat. Barcelona: Publicacions UB, 2009

Catàleg UB  

MARÍN FERIA, Susana, et al. Pràctiques informàtiques, inferència estadística. Barcelona: Publicacions UB, 2008

MARTÍN-PLIEGO, Fco. Javier.   Problemas de inferencia estadística.   3a ed.  Madrid: AC, 2005.

NEWBOLD, Paul.  Estadística para administración y economía.  8a. ed.  Madrid: Pearson Educación, 2013

PARRA FRUTOS, Isabel.  Estadística empresarial con Microsoft Excel: problemas de inferencia estadística.  2a ed.  Madrid: Editorial AC, Thomson, 2003

PERÓ, Maribel i al. Estadística aplicada a las ciencias sociales mediante R y R-Commander. Madrid: Grupo Editorial Garceta, 2012

RUIZ-MAYA, Luis. Fundamentos de inferencia estadística. 3a ed. Madrid: Thomson Paraninfo, 2005

SPIEGEL, Murray R.; SCHILLER, John J.; SRINIVASAN, Alu. Probabilidad y Estadística. 3ª Edición. Ed. McGraw-Hill, 2013

Web page

Instituto Nacional de Estadística. Informació d’indicadors nacionals. (Consulta: 12 juny 2017). Disponible a: www.ine.es  

Institut d’Estadística de Catalunya. Informació d’indicadors a escala catalana. [Consulta: 12 juny 2017]. Disponible a: http://www.idescat.net  

Banco de España (Informació de variables financeres) [Consulta: 12 juny 2017]. Disponible a: http://www.bde.es  

Unió Europea-Eurostat.[Consulta: 12 juny 2017]. Disponible a: http://ec.europa.eu/eurostat