5 ECTS; 1º Ano, 2º Semestre, 15,0 T + 30,0 TP + 15,0 OT
Students will be provided with the basics of some key statistics techniques and methodologies, mainly quantitative, so that they can design and implement solutions to different problems under uncertainty conditions.
1 Probability (axioms and theorems), 2 discrete and continuous random variables; 3 Some theoretical probability distributions (discrete and continuous); 4 Sampling and sampling distributions (mean, variance and sample proportion) 5 Point and interval estimation parameters, 6 parametric hypothesis tests (mean, variance and population proportion); 7 Correlation and simple linear regression.
Continuous assessment: evaluation by frequency during the semester (two written tests, classified from 0 to 20 values), with the minimum classification restriction of 6 values in both. The student is exempt from examination (i.e. approved by continuous assessment) if the average obtained from the written frequency classification, rounded to the units, is equal to or greater than 10 values.
Assessment by exam: written exam with all the subjects taught in the curricular unit (classified from 0 to 20 values).
- Guimarães, R. e Cabral, J. (2007). Estatística. Lisboa - Portugal: McGraw-Hill
- Gama, S. e Pedrosa, A. (2004). Introdução Computacional à Probabilidade e Estatística. Porto - Portugal: Porto Editora
Method of interaction
The teaching methodology of this curricular unit consists of theoretical classes with oral exposition, aided with notes and theoretical-practical classes and tutorial orientation, where several exercises that are in the exercise book are solved.
Software used in class
Occasionally, exercises are solved on Excel spreadsheet and the statistical package SPSS.