Applied statistics

According to what is defined in the curricular plan, the classes are theoretical-practical. The method used to present the theoretical
concepts defined in the curricular unit is expository.
For the practical part, students are asked to resolve exercises, whenever possible, using real data and statistical software.

This curricular unit has as main objective the application of statistical techniques in the resolution of real problems.
It is intended that the students:
– Acquire fundamental concepts of probability theory, including conditioned probability, random variables, and more important probability
distributions, and their applications in the real world;
– Know how to apply point and interval estimation techniques to make inferences about population parameters and interpret the results
obtained;
– Perform and interpret parametric hypothesis tests for different population parameters;
– Understand the hypotheses underlying the linear regression model, estimation, and application to concrete problems;
– Be able to solve each concrete problem using a statistical software.

1. Framework: statistical thinking
2. Probabilities and theoretical distributions
2.1. Fundamental concepts and theorems
2.2. Discrete and continuous random variables
2.3. Discrete and continuous theoretical distributions
3. Statistical inference
3.1. Introduction
3.2. Confidence intervals for different population parameters
3.3. Parametric hypothesis tests for different population parameters
4. Linear regression model

NAO