INTRODUCTION TO APPLIED STATISTICS
Code: 21068
ECTS: 6
Departament: Department of Sciences and Technology
Field of Study: Mathematics
Keywords:
Descriptive Statistics
Indexes
Regression and Simple Correlation
Combinatorics and probability
Teacher:
Teresa Oliveira
Área Científica: Statistics and Operational Research (branch: Experimental and Data Analysis).
E-mail: toliveir@uab.pt

Course Description:

In almost all professional and scientific areas we are confronted daily with the need to extract quality information, from a set of observed data (salaries and administrations, voting intentions, annual sales, educational attainment and growth of a population, etc.), therefore is essential to have the knowledge for interpret and evaluate the results of statistical calculations. With this goal are studied some forms of data presentation and calculation of descriptive statistics measures. It makes a comparison between values of a variable in different registers in time and space and study the linear relationship between two variables. The last part is an introduction to the combinatorial calculation, calculation of probabilities and the concept of random variable in the discrete case.

Competences:
Organize and analyze statistical data; Calculate and interpret statistical indexes;  Calculate and interpret the linear regression equation and the simple correlation coefficient; Solve problems involving combinatorial calculation and probabilities.

Contents:
1. Graphs.
2. Measures of location (mean, mode, median).
3. Measures of dispersion and spread (variance, standard deviation, Lorenz curve, Gini coefficient).
4. Laspeyres and Paaches indexes.
5. Linear regression and correlation.
6. Combinatorics and probability. Random Variables. Discrete Variables.

Bibliography:
Reis, Elizabeth (2008). Estatística Descritiva, Edições Sílabo (7ª Edição), p.248:  ISBN:9789726184768

Complementary:
Sílvio Filipe Velosa, Dinis Duarte Pestana (2008). Introdução à Probabilidade e à Estatística Fundação Calouste Gulbenkian, (4ª Edição), p. 1164: ISBN: 9789723111507

Format:
E-learning