Know the historical evolution of statistics; approach the concept of probability; understand the statistical information; solve problems based on statistical information in appropriate models; use the appropriate statistical techniques to data analysis; understand the fundamentals of statistical methods, mainly based on the data type; develop skills for the use of appropriate statistical software to analyze data with SPSS.

I - The object of statistics: basic concepts
1. Historical evolution of statistical
2. The object of the statistical
3.Population and sample
4. Censuses and surveys

II - The level of the
1. Variables
2. Scales of measurement

III - Univariate descriptive statistics
1. Frequency distribution
2. Measures of central tendency
3. Measurements dispersion
4. Skewness and kurtosis
5. Normal distribution
6. Analysis and representation of data

IV-Statistical Decision Theory: Fundamental Concepts
1. Concept of probability
2. Binomial distribution
3. Poisson distribution
4. Normal distribution
5. Confidence Intervals
6. Statistical hypotheses
7. Significance (p value)
8. Correlation
a. Product-moment Brawais Pearson and Spearman-Rho Rank
9. Parametric and nonparametric tests
a. Student t test (design related and unrelated)
b. ANOVA
c. U Mann-Whitney
d. Wilcoxon test
e. McNemar test
f. Chi-square
g. Cochran Q test
h. Kruskal-Wallis

Maroco, J., Bispo, R. (2003). Estatística aplicada às ciências sociais e humanas. Lisboa: Climepsi Editores.
Martinez, L. e Ferreira, A. (2007). Análise de dados com o SPSS – primeiros passos. Lisboa: Escolar Editora.