| Center |
| Faculty of Medicine and Odontology |
| Departament |
| Statistics and Operational Research |
| Lecturers in charge |
| Sin datos cargados |
| Met. Docent |
| In the theoretical classes the teacher will introduce the statistical concepts and methods, with examples and exercises to be solved by the students. In the practical classes, the students will use a commercial code for statistical analysis. |
| Met. Avaluació |
| In a written final test the students will be asked to solve problems related to the theoretical part of the subject and to interpret the statistical results obtained with the statistical software used in practicals. |
| Bibliografia |
| Milton, J.S. (1994). Estadística para biología y Ciencias de la Salud. México: McGraw-Hill Interamericana. Moore, D.S. (1995). The basic practice of statistics. New-York: Freeman. Moses, L.E. (1986). Think and explain with statistics. Reading, Mass.: Addison-Wesley. Norman, G.R. y Steiner, D.L. (1996). Bioestadística. Madrid: Mosby/Doyma Libros. Pagano, M. y Gauvreau, K. (2001). Fundamentos de Bioestadística. 2ª Edición. México: Thomson Learning. Samuels, M.L. (1990). Statistics for the life sciences. San Francisco: Dellen Oublishing Company. |
| Continguts |
| Theory Program (3 credits) 1.- Objective of Statistics. 2.- Population and Samples: Aleatory sampling. 3.- Graphic description of a sample. 4.- Describing a sample numerically. 5.- Describing a population: Probability Distributions 6.- Distribution of the average sample. 7.- Specific and interval estimates. 8.- Contrasting hypotheses. 9.- Comparing two populations. 10.- Study of proportion and contingency charts. Practical Program (1,5 credits) 1.- Initiation to SPSS. 2.- Graphic and Numeric description of a database. 3.- Study of the randomness of a sample. 4.- Analysis of a sample. 5.- Analysis of two samples. 6.- Study of proportion and contingency charts. |
| Objetius |
| It aims to teach students about the most common statistical problems and to be able to carry out a critical assessment of their adaptation to different application contexts, which, presumably, they will find in their future professional development. Special emphasis is placed on the correct interpretation of the results of statistical analysis. In spite of the eminently practical character of the course, without abandoning a mainly intuitive presentation, students will study the statistical justification of the techniques employed. |
| URL de Fitxa |