Base Knowledge
NA
Teaching Methodologies
In this UC the following teaching methods are used:
1) Verbal methodologies (say), making use of pedagogical resources: Presentation, Explanation, Dialogue and Interrogation;
2) Intuitive Methodologies (show), making use of pedagogical resources: Demonstration, Audiovisual and written texts.
Learning Results
1) Introduce basic notions of Descriptive Statistics and Probability, in order to familiarize the student with the terminology and the main techniques;
2) Learn Inferential Statistics techniques and their assumptions in order to use them judiciously and critically, aware of their limitations, and correctly interpret the results;
3) Know important concepts of the Theory of Sampling with a view to its operationalization through statistical inference;
4) Know and know how to use statistical decision techniques: formulate hypotheses and evaluate them through hypothesis tests.
Program
1. Descriptive statistics
Data classification
Characterization of Univariate and Bivariate Samples
2. Elementary Probability Theory
Probability
Conditional Probability
Combinatorial Calculus
3. Random Variables-Probability Distribution
Probability and Density Function
Distribution Function
Parameters
4.Characterization of some Univariate Distributions
Discrete and Continuous Distributions
5.Sample distributions
Random sample, estimator, estimate, sample distribution
6. Sampling
Sizing and composition of the sample
Collection, analysis and classification of samples
Statistical treatment of samples
7. Confidence intervals
Confidence interval for the population mean, for the variance, for the standard deviation, for the proportion
8. Hypothesis Tests
Significance test: for means, for variances and for proportions.
Grading Methods
- - Individual written test and individual work - 100.0%
- - Exam - 100.0%
Internship(s)
NAO