INTRODUCTION TO APPLIED STATISTICS

- Descriptive Statistics

Indexes

Regression and Simple Correlation

Combinatorics and probability

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.

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.

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.

Mandatory Reading:

Complementary:

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

E-learning

Continuous assessment is privileged: 2 or 3 digital written documents (e-folios) during the semester (40%) and a presence-based final exam (p-folio) in the end of the semester (60%). In due time, students can alternatively choose to perform one final presence-based exam (100%).