Higher Technical School of Agricultural Engineering UPCT APPLIED STATISTICS

Transcripción

1 Higher Technical School of Agricultural Engineering UPCT APPLIED STATISTICS Qualification: Degree in Agri-food Engineering and Biological Systems. Course: 2015/2016

2 1. Subject information Name Applied Statistics Matter* Statistics Module* Compulsory Subjects Code Degree Degree in Agri-food Engineering and Biological Systems Study plan 2014 Centre Higher Technical School of Agricultural Engineering (ETSIA) Type Compulsory Teaching period Four month period Language Spanish Four month period: First Course 2nd ECTS 4.5 Hours / ECTS 30 Total workload (hours) 135 * All terms marked with an asterisk are defined in References for teaching at the UPCT and Glossary of terms:

3 2. Teacher information Lecturer in charge Teresa Montero Cases Department Applied Mathematics and Statistics Knowledge area Statistics and Operations Research Location of the office B020: Ground Floor Old Naval Hospital Phone Fax URL / WEB timetable available / Tutorials Check in Location during the tutorials The same Teaching and research profile Teaching experience Research Lines Professional experience Other topics of interest Educational Innovation Teresa Montero Cases / Graduate in Maths Science by University of Valencia/ University Professor From 1990 (4 teaching quinquenniums) Subjects taught: Statistical Methods in Engineering (Industrial Engineer), Applied Statistics (agronomic engineer) Design of experiments and sampling techniques (agronomic engineer) etc. Processing systems development and modelling of digital signals nonparametric Inference

4 3. Contents 3.1.Contents according to the study plan of the subject Descriptive statistics. Fundamentals of Probability Theory. Dimensional and twodimensional random variables. Discrete and continuous models of one-dimensional distributions. Sampling techniques and sample distributions. Introduction to parametric estimation. Introduction to hypothesis testing. Inference for one and two populations. 3.2 English program theory (Teaching units and topics) PART 1. DESCRIPTIVE STATISTICS AND PROBABILITY Unit 1 - Descriptive statistics. Unit 2. - Introduction to Probability Theory. PART 2. RANDOM VARIABLES Unit 3. - One-dimensional random variables. 4. Unit - Multidimensional random variables. SAMPLING METHODS AND PART 3. STATISTICAL INFERENCE Unit 5 - Sampling and sampling distributions. Unit 6. - Introduction to Estimation Theory. Unit 7. - Hypothesis Testing.

5 4. Bibliography and resources 4.1 Basic Bibliography* Probabilidad y estadística para ingeniería y ciencias. Devore, Jay L. Ed. International Thomson Editores. Probabilidad y estadística aplicadas a la ingeniería. Montgomery, D y Runger, G. Ed. McGraw-Hill. Probabilidad y Estadística. Walpole, R.E. y Myers, R. Ed. McGraw-Hill. Probabilidad y Estadística: Problemas. Franco, M. Guillamón, A. y Navarro, J. Ed. Diego Marín. Estadística Básica con R y R-Commander. ISBN: Disponible en Estadística para Biología y Ciencias Ambientales. Tratamiento informático mediante SPSS. Lara Porras, Ana Mª. Ed. Proyecto Sur de Ediciones, S.L. (Link to link basic bibliography Documentation Service 4.2 Complementary bibliography* Estadística para administración. Levine, D.M., Krehbiel, T.C. y Berenson, M.L. Ed. Prentice Hall. Estadística Modelos y métodos (Vol. 1 y 2). Peña, D. Ed. Alianza Universidad Textos. Introducción a la investigación de operaciones. Hillier, F. y Lieberman, G. J. Ed. McGraw- Hill. Estadística para los negocios y la Economia. Newbold, P. Ed. Prentice Hall. Estadística industrial moderna. Kenett, Ron. S. y Zacks, S. Ed. Thomson. Introducción a la probabilidad y estadística. Lipschutz, S. y Schiller, J. Serie Schaum, Ed. McGraw Hill. Estadística Aplicada a través de Excel. Pérez: C. Ed. Prentice Hall. Kessler, M. Apuntes de métodos estadísticos para la ingeniería. Cartagena: Universidad Politécnica de Cartagena, p. ISBN Disponible en el repositorio digital de la UPCT. (Link to link complementary bibliography Documentation Service) 4.3 Network resources and other resources Virtual classroom of the subject.

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