Estatística

Base Knowledge

Regarding this course, basic knowledge of Descriptive Statistics is required.

Teaching Methodologies

The teaching methodologies used in this course are:

1) Verbal Methodologies (say), making use of pedagogical resources: Exposition, Explanation, Dialogue and Interrogation;

2) Intuitive Methodologies (show), making use of pedagogical resources: Demonstration, Audiovisuals and Written Texts;

3) Computational Methodologies (to do), making use of computational resources, namely Excel.

Learning Results

The objectives of this course are:
1. Recognize and relate notions of Statistics and Probability;
2. Organize, classify and relate data using statistical techniques;
3. Interpret results from the application of statistical techniques and methods;
4. Apply knowledge using computer tools.

Program

1. Descriptive Statistics: Classification of Data; Characterization of Univariate and Bivariate samples.

2. Elementary Theory of Probability: Probability; Conditional Probability; Combinatorial Calculus.

3. Random Variables – Probability Distribution: Function and Probability Density; Distribution Function; Parameters.

4. Characterization of some univariate distributions: Discrete and Continuous Distributions.

5. Sampling Distributions: Random sample estimator, estimation, sampling 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 average, for the variance, for the standard deviation and for the ratio.

8. Hypothesis Tests: Test of significance: for average, for variances and for proportions.

Curricular Unit Teachers

Internship(s)

NAO

Bibliography

Andrade, R., Calapez, T., Melo, P., & Reis, E. (2015). Estatística aplicada 1. Edições Sílabo.

Andrade, R., Calapez, T., Melo, P., & Reis, E. (2019). Estatística aplicada 2. Edições Sílabo.

Curto, J. D., & Pinto, J. C. (2014). Estatística para a economia e gestão. Edições Sílabo.

Gama, S., & Pedrosa, A. C. (2018). Introdução computacional: Probabilidade e estatística com Excel. Porto Editora.

Murteira, B., Ribeiro, C. S., Andrade e Silva, J., Pimenta, C., & Pimenta, F. (2015). Introdução à estatística (3.ª ed.). Escolar Editora.

Negas, E. (2019). Estatística descritiva: Explicação teórica, casos de aplicações e exercícios resolvidos. Edições Sílabo.