AS

Applied Statistics

Objectives

At the end of the course Applied Statistics, the student should be able to:

Calculate location and dispersion measures interpreting their values
Interpret graphical representations of data according to the nature of the variables
Compute probabilities and probability distributions
Identify random variables and the most common probability distributions
Correctly apply statistical inference techniques
Use statistical methods for planning, control, interpretation and decision making in the context of engineering
Perform statistical analysis with the aid of statistical software

Program

1 Population and sample. Data types and measurement scales. Descriptive Statistics.

Probability concepts.
Random variables and univariate probability distributions. Expected Value.
Families of probability distributions.
Parameter estimation.
Confidence intervals.
Hypothesis testing.
Analysis of variance.
Correlation and regression.
Good fit tests for large samples.

Bibliography

Montgomery, D.C. and Runger, G.C. (2018). Applied Statistics and Probability for Engineers. 7th edition. John Wiley. Devore, J.L. (2015) Probability and Statistics for Engineering and the Sciences. 9th Edition. Brooks Cole. Guimarães, R.M.C. e Sarsfield Cabral, (2010) Estatística, Verlag Dashöfer Portugal Pestana, M.H. and Gageiro, J.N. (2014), Análise de dados para ciências sociais: a complementaridade do SPSS, 6oEdição, Edições Sílabo. Field, A. (2017), Discovering Statistics Using IBM SPSS Statistics. 5th Edition. London, UK: Sage. Field, A., Miles, J., Field, Z. (2012), Discovering Statistics Using R. London, UK: Sage.