Introduction to Applied Statistics
Cod: 21068
Department: DCET
ECTS: 6
Scientific area: Mathematics
Total working hours: 156
Total contact time: 26

In almost all professional and scientific areas we are confronted daily with the need to extract quality information, from a set of observed data (salaries and administrations, voting intentions, annual sales, educational attainment and growth of a population, etc.), therefore is essential to have the knowledge for interpret and evaluate the results of statistical calculations. With this goal are studied some forms of data presentation and calculation of descriptive statistics measures. It makes a comparison between values of a variable in different registers in time and space and study the linear relationship between two variables. The last part is an introduction to the combinatorial calculation, calculation of probabilities and the concept of random variable in the discrete case.
Descriptive Statistics
Indexes
Regression and Simple Correlation
Combinatorics and probability
Organize and analyze statistical data; Calculate and interpret statistical indexes;  Calculate and interpret the linear regression equation and the simple correlation coefficient; Solve problems involving combinatorial calculation and probabilities.
1. Graphs.
2. Measures of location (mean, mode, median).
3. Measures of dispersion and spread (variance, standard deviation, Lorenz curve, Gini coefficient).
4. Laspeyres and Paaches indexes.
5. Linear regression and correlation.
6. Combinatorics and probability. Random Variables. Discrete Variables.