Statistics II
| Keywords |
| Classification |
Keyword |
| OFICIAL |
Mathematics and Informatics |
Instance: 2004/2005 - 2S
Cycles of Study/Courses
Objectives
At the end of the course, students should:
1) Know the most important techniques of statistical inference.
2) Be able to apply these statistical techniques and concepts, never forgetting their rigorous mathematical formularisation and conditions of applicability, even when intuitively understood.
3) Be critical users of the statistical methods.
Program
Statistical Inference
I. Introduction to sampling basic notions
II. Point estimation
III. Interval estimation
IV. Hypothesis testing
V. Chi-Square tests
VI. Analysis of variance
Main Bibliography
Hines, W. W. and Montgomery, D. C. (1990). Probability and Statistics in Engineering and Management Science, John Wiley and Sons, New York.
Hogg, R. V. (1997). Probability and Statistical Inference, 5ª ed., Prentice Hall, Upper Saddle River.
Wonnacott, T. H. and Wonnacott, R. J. (1993). Introductory Statistics for Business and Economics, 5ª ed., John Wiley and Sons, Toronto.
Siegel, A. F. (1997). Practical Business Statistics, 3ª ed., Irwin, Boston.
Complementary Bibliography
Guimarães, R. C. and Cabral, J. A. (1997). Estatística, McGraw-Hill, Lisbon.
Murteira, B., Ribeiro, C., Silva, J. and Pimenta, C. (2002). Introdução à Estatística. McGraw- Hill.
Pestana, Dinis and Velosa, Sílvio (2002). Introdução à Probabilidade e à Estatística, Vol. I.. Manual Universitário, Fundação Calouste Gulbenkian.
Teaching methods and learning activities
Theoretical-Practical classes.
All classes are in Portuguese.
Evaluation Type