Statistics II
| Keywords |
| Classification |
Keyword |
| OFICIAL |
Mathematics and Informatics |
Instance: 2005/2006 - 2S
Cycles of Study/Courses
Objectives
In the end of the course, sudents should:
know the most important techniques of statistical inference;
be able to apply these statistical techniques and concepts, never forgetting their rigorous mathematical formulation and conditions of applicability, even when intuitively understood;
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
Murteira, B., Ribeiro, C., Silva, J. and Pimenta, C. (2002). Introdução à Estatística. McGraw-Hill.
Complementary Bibliography
Guimarães, R.C. and Cabral, J.A. (1997). Estatística. McGraw-Hill.
Hines, W.W. and Montgomery, D.C. (1990). Probability and Statistics in Engineering and Management Science. John Wiley and Sons.
Hogg, R.V. (1997). Probability and Statistical Inference. 5th ed., Prentice Hall.
Pestana, D. and Velosa, S. (2002). Introdução à Probabilidade e à Estatística, Vol. I, Fundação Calouste Gulbenkian.
Siegel, A.F. (1997). Practical Business Statistics. 3rd ed.,
Wonnacott, T.H. and Wonnacott, R.J. (1993). Introductory Statistics for Business and Economics. 5th ed., John Wiley and Sons.
Irwin.
Software
R, SAS, S-Plus, SPSS
Evaluation Type
Evaluation with final exam